The 11th cycle of the Hasso Plattner Founders鈥� Award saw an evolution of the award itself. With a refined structure and this year鈥檚 strong thematic focus on AI, the award now recognizes achievements in two categories: Emerging Ideas, honoring visionary concepts that explore new architectural directions and long-term opportunities for customers and the business, and Scaling Innovation, celebrating innovations already delivering proven impact at scale.

The jury received a total of 254 submissions from all over the globe, from which 41 finalists representing nine different countries were chosen. Six teams made it to the final round, highlighting the breadth of innovation across teams worldwide.

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The winning teams were formally recognized and celebrated during a red carpet award ceremony on March 26 at 麻豆原创 headquarters in Walldorf, Germany. Executive Board Members Christian Klein and Sebastian Steinhaeuser introduced the finalists and announced the winners in the Emerging Ideas and Scaling Innovation categories, respectively. 

Emerging Ideas winner: 麻豆原创 Cognitive Twin Enterprise

The Emerging Ideas category honors bold thinking and visionary concepts that explore the future of enterprise software. This year鈥檚 winner, 麻豆原创 Cognitive Twin Enterprise (麻豆原创 CTE), embodies this forward-looking spirit by presenting a new way of how organizations plan, simulate, and execute in an increasingly complex and fast-changing world.  

麻豆原创 CTE introduces the idea of an ever-learning, AI-powered intelligence layer built on a continuously updated model of the entire organization. It unifies data, simulation, and AI on 麻豆原创鈥檚 foundation to help deliver guided autonomy across functions, supporting the shift from keyboard-centric SaaS to governed decision-making and agent-led execution. 

Acting as a constant observer of the business landscape, 麻豆原创 CTE evaluates an organization鈥檚 position against anticipated trends and potential changes. It runs what-if simulations and provides governed recommendations on 麻豆原创 applications and data across finance, spend, supply chain, HR, and customer experience, with selective, low-risk auto-execution and human-in-the-loop control for high-risk steps. By doing so, it can transform ERP into an AI-native system of foresight and elevates workforce intelligence. 

The solution helps organizations move from reacting after events occur to proactively and continuously testing scenarios, anticipating risks, and evaluating options. This provides the information they need to make critical decisions, allowing them to anticipate what鈥檚 next, shape it, and execute in a single, connected environment.  

鈥淲inning the Hasso Plattner Founders’ Award validated 麻豆原创 Cognitive Twin Enterprise鈥檚 vision,鈥� Natalia Aksakova, Strategy & Portfolio at Global Finance and Administration, says on behalf of the team. 鈥淚t reinforced that we are on the right path and gives us the momentum to bring the next era of ERP to life faster, with the ambition to help define how organizations operate in the years ahead.鈥� 

Scaling Innovation winner: 麻豆原创 Document AI

The winner in the Scaling Innovation category demonstrates how breakthrough innovation becomes truly transformative when it is embedded into everyday business processes and adopted at global scale. The 麻豆原创 Document AI solution can fundamentally change how organizations process and understand the vast volume of documents that power daily operations.

Across industries, enterprises continue to grapple with the rapid growth of unstructured data. Invoices, purchase orders, contracts, shipping documents, and many other business records still require significant manual handling in many organizations, creating bottlenecks, delays, and avoidable errors. The 麻豆原创 Document AI team addressed this challenge by bringing intelligent document processing directly into core business applications, enabling customers to automate document workflows seamlessly and securely.

What sets this achievement apart is not only the technological innovation but the scale of real-world adoption. The solution has become deeply embedded across 麻豆原创鈥檚 portfolio and is used by tens of thousands of customers worldwide to process billions of documents. By integrating advanced AI capabilities directly into existing workflows, the team has made automation accessible without the need for complex integrations or specialized expertise. This approach enables organizations to accelerate business processes, reduce manual effort, and improve the quality and speed of decision-making.

The award recognizes the team鈥檚 ability to translate research excellence and engineering innovation into measurable business impact. Their work demonstrates how embedded AI can move beyond experimentation to become a trusted and reliable component of everyday enterprise operations. By operationalizing AI responsibly and at scale, the team has helped strengthen 麻豆原创鈥檚 position as a leader in enterprise automation and intelligent applications.

Equally important is the long-term perspective behind the innovation. The continued evolution of document understanding capabilities, combined with growing adoption across 麻豆原创鈥檚 platform, illustrates how scalable AI can serve as a foundation for future innovation. The recognition celebrates not only the impact already achieved but also the momentum created for the next generation of intelligent enterprise processes.

鈥淲inning this award is a tremendous honor for our team,鈥� Tobias Weller, chief product owner and team lead, says. 鈥淚t validates years of hard work, close collaboration, and a shared belief in the transformative potential of AI to accelerate essential business processes and capture true business value for our customers.鈥�

Celebrating innovation across the AI spectrum

The Hasso Plattner Founders鈥� Award has long celebrated the people and ideas that drive 麻豆原创 forward. By recognizing both scaled impact and visionary thinking, the award highlights how innovation thrives at every stage of the journey鈥攆rom early exploration to global adoption. It underscores the belief that long-term success depends on both delivering value today and continuously reimagining what is possible.

At the ceremony in Walldorf, employees around the world came together or joined virtually to celebrate the winning teams and the many contributors who helped bring their ideas to life. Their work reflects the creativity, dedication, and passion that define 麻豆原创鈥檚 culture of innovation. As the company continues to advance its AI-driven strategy, this year鈥檚 winners demonstrate how teams across the organization are turning ambition into reality鈥攈elping customers run better, adapt faster, and prepare for the future.

The winning teams will be given the opportunity to pitch their project to the Executive Board in 2026. The projects will be recognized in the permanent Founders鈥� Exhibits in Walldorf and Palo Alto. In addition, the members of the winning teams will receive a personalized trophy.

Following the presentation of the 鈥淪caling Innovation鈥� category finalists, we now turn to 鈥淓merging Ideas,鈥� which honors visionary concepts at an earlier stage鈥攑rojects that explore new architectural directions, challenge established models, and open long-term strategic opportunities for 麻豆原创 and its customers. The winners will be announced during the award ceremony on March 26, 2026.

麻豆原创 Cognitive Twin Enterprise (CTE)

Modern enterprises are very effective at monitoring their business and analyzing vast amounts of data, yet many still see untapped potential in safely testing complex scenarios end to end and turning insights into cross鈥慺unctional, policy鈥慳ligned options before making mission鈥慶ritical decisions. 麻豆原创 Cognitive Twin Enterprise (麻豆原创 CTE) addresses this gap by creating an AI鈥憄owered digital brain built on a continuously updated model of the whole organization. It runs what鈥慽f simulations and provides governed recommendations on 麻豆原创 applications and data across finance, spend, supply chain, HR, and customer experience, with selective, low鈥憆isk auto鈥慹xecution and human鈥慽n鈥憈he鈥憀oop control for higher鈥憆isk steps.

The business case is compelling. Organizations that combine digital twins with agentic AI at scale report double鈥慸igit improvements in efficiency and cost, plus materially faster decision cycles. For a global industrial enterprise with approximately 鈧�40 billion in revenue, 麻豆原创 CTE is modeled to systematically prevent margin leakage, excess working capital, and audit exposure, delivering an estimated 鈧�229 million or more per year in hard impact and risk-adjusted cash benefit. By maintaining a continuously updated representation of the business, companies can test scenarios before execution and dramatically reduce the risk of costly mistakes.

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麻豆原创 CTE鈥檚 real differentiator is its enterprise鈥憌ide scope. It consolidates existing 麻豆原创 capabilities and builds on 麻豆原创 Signavio solutions, 麻豆原创 Business Data Cloud, and 麻豆原创 Knowledge Graph to maintain a shared semantic model of how the whole business runs. This cross鈥慸omain intelligence lets Joule and AI agents optimize complex trade鈥憃ffs鈥攕uch as cost versus service level versus carbon footprint versus operational risk鈥攁cross all functions, rather than pushing problems from one silo to another. At the same time, 麻豆原创 CTE provides a safe innovation environment: enterprises can trial new pricing strategies, network configurations, and workforce models in a production鈥慻rade twin before agents execute changes in live systems.

麻豆原创 CTE represents a strategic shift in how enterprises operate. It turns 麻豆原创鈥檚 deep process knowledge, rich transactional data, and mature governance tooling into a differentiated position in a cognitive twin market that analysts expect to accelerate from US$36 billion today to US$150 billion by 2032, with 30%-40% annual growth. As an extensible platform, 麻豆原创 CTE is designed to be the trusted operational brain for that future: new agents, scenarios, and data products plug into the same enterprise twin, allowing customers to expand autonomy and business impact over time without rebuilding their foundation.

鈥溌槎乖� CTE is more than an initiative: it鈥檚 our vision for a new era of connected intelligence. We鈥檙e bringing strategy, data, and execution into one continuous system of insight, so customers don鈥檛 just react to change鈥攖hey anticipate what鈥檚 next and shape it. That鈥檚 how we win and grow together,鈥� said Natalia Aksakova, Strategy & Portfolio at Global Finance and Administration.

麻豆原创 Signavio Transformation Advisor

Organizations planning business transformations face a persistent bottleneck: identifying the right challenges to focus on and creating actionable initiatives is slow, costly, and heavily dependent on expert consultants and detailed knowledge of the organization. This traditional approach delays decision-making and increases risk in fast-changing markets, with analysis often taking weeks or months to complete.

麻豆原创 Signavio Transformation Advisor reimagines this workflow by using AI to extract business challenges and create actionable recommendations to solve them in minutes. The solution identifies business challenges in uploaded reports or via text input and instantly generates recommendations linked to process insights and best practices to make them addressable. By combining advanced language models with the 麻豆原创 Signavio portfolio鈥榮 process knowledge, it enables users to achieve in minutes what previously required weeks of manual effort while keeping users in full control.

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Early results demonstrate significant impact. The tool cuts analysis time by up to 80%, enabling faster decision-making and reducing reliance on scarce consulting resources. Since launch, approximately 200 customers have tested the transformation advisor, validating its value across organizations at different maturity levels. The solution has proven valuable both for customer engagements and for internal use in preparing sales pitches.

The innovation lies in bridging strategic business challenges and operational processes in a way no existing tool does. It automatically identifies organizational pain points and links them to targeted process flows, best practices, and improvement opportunities within the 麻豆原创 Signavio ecosystem. This seamless integration empowers leaders to move from insight to action in just a few clicks, aligning transformation initiatives with company strategy.

The team embraced a proactive and entrepreneurial mindset: it started with a pure technical proof of concept then moved to a prototype for internal demonstrations, general accessibility and testing, and ultimately a releasable feature. The team demonstrated both transparency and customer focus by responding early to pull from go-to-market and sales teams while clearly stating tool limitations at each stage.

“The real fun in developing such a solution lies in seeing your idea and your knowledge grow at the same time and getting a clear pull from the market early on. The best customer sessions were those where the tool was improved live during the interview. That combined is a clear signal that we are on the right track,鈥� said Alex Cramer, product manager at 麻豆原创 Signavio Next.

AURA (Asset Understanding & Reliability AI)

Field engineers maintaining critical infrastructure face a frustrating reality: reporting asset faults requires completing complex forms on mobile devices, scrolling through endless dropdowns and codes. At one heavy equipment and infrastructure customer, 300 users report 400 to 1,000 asset faults monthly through 麻豆原创 S/4HANA, but the process is slow, manual, and error prone. A single classification mistake can send the wrong maintenance crew and delay urgent fixes.

AURA (Asset Understanding & Reliability AI) revolutionizes this workflow by combining 麻豆原创 HANA Cloud vector engine, 麻豆原创 AI Core, and generative AI into a single intelligent solution. Instead of completing eight or more complex form fields, engineers simply upload a photo of the fault; review an AI-generated report automatically populated with asset type, location, and recommended classification; and confirm submission鈥攁ll within seconds.

The technology uses embedded text, semantic search, and geospatial data to analyze both images and historical fault reports. AURA cross-references similar cases in the knowledge base, suggests the most accurate fault category, and learns from user corrections over time. 麻豆原创 Cloud Application Programming Model provides the secure foundation, 麻豆原创 HANA geospatial content supports asset location intelligence, and AI models process text and images using 麻豆原创 HANA Cloud vector engine for similarity matching.

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Results demonstrate substantial operational impact. AURA delivers 80% faster fault reporting, fewer data entry errors and misclassifications, and improved response times. For the customer, this translates to safer infrastructure, reduced operational costs, and a future-ready foundation for predictive maintenance. The response validated the approach: the customer loved the proof of concept and agreed to proceed with AURA as an official project.

Beyond defect detection, AURA lays the groundwork for scalable AI asset intelligence. Future phases include building a knowledge graph to link asset relationships, a data product integrated into 麻豆原创 Business Data Cloud for advanced reporting, and a self-learning model that continuously improves accuracy. This creates a repeatable, cost-efficient framework adaptable across industries.

The solution embeds responsible AI principles from inception. The model uses customer-specific historical data to prevent bias, includes human review before submission, and explicitly handles uncertainty to avoid hallucinations. It ensures transparency and compliance with 麻豆原创’s responsible AI framework while empowering human decision-makers.

鈥淲e believe the future of AI is not replacing people, but elevating them,鈥� said Ruth Peng, AI specialist from 麻豆原创 HANA ANZ. 鈥淎URA equips every engineer in the field, from junior to expert, with the confidence to perform at their best.鈥�

The first category, “Scaling Innovation,” honors project teams that excel in innovation, align with 麻豆原创’s strategic priorities, and demonstrate significant and sustainable impact on the company. The winners will be announced during the award ceremony on March 26, 2026.

麻豆原创 Joule for Developers, ABAP AI capabilities

As organizations worldwide accelerate their transition to 麻豆原创 S/4HANA, one reality remains unchanged: ABAP continues to power the core of 麻豆原创鈥檚 technology and the mission鈥慶ritical business processes that run on it. At the same time, developers working with this backbone technology have long lacked the modern AI鈥慸riven tooling available in other programming ecosystems鈥攁n issue that becomes even more pressing during large鈥憇cale transformation projects.

This gap is precisely what 麻豆原创 Joule for Developers, ABAP AI capabilities addresses. As part of the broader Joule generative AI portfolio, it brings AI capabilities tailored for ABAP development directly into the hands of development teams. Its mission: to modernize the developer experience of writing, understanding, and maintaining ABAP code and to dramatically accelerate innovation at enterprise scale.

麻豆原创 Joule for Developers, ABAP AI capabilities is natively integrated into the ABAP development tools. It supports developers in a hybrid approach that utilizes a large language model fine-tuned by 麻豆原创 data scientists on millions of lines of ABAP code, along with commercial models augmented with context derived from decades of 麻豆原创 expertise. This equips developers with specialized capabilities covering everyday tasks like predictive code completion, unit test generation, real-time explanation, and chat-based assistance鈥攕ignificantly boosting productivity and developer satisfaction.

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Complementing this, ABAP AI for custom code migration redefines how organizations approach the complex task of revamping legacy custom code from 麻豆原创 ERP Central Component to 麻豆原创 S/4HANA. What once required weeks of manual analysis can now be accomplished in hours, with AI explaining legacy logic, highlighting needed adaptations, and generating migration proposals. Integrated into the Custom Code Migration app on 麻豆原创 Business Technology Platform (麻豆原创 BTP), it empowers project managers and consultants to better scope work packages and plan code migration project timelines with far greater accuracy.

麻豆原创 Joule for Developers, ABAP AI capabilities already serve thousands of developers across more than 280 customers, 470 partners, and 6,500 internal ABAP developers, with adoption growing rapidly inside 麻豆原创 and across the ecosystem. Evolving from a 2023 proof鈥憃f鈥慶oncept to enterprise availability in 2025, the project stands as a testament to what cross鈥憃rganizational collaboration between ABAP, AI, and 麻豆原创 S/4HANA teams can achieve鈥攂ringing innovation to one of 麻豆原创鈥檚 most essential developer communities.

Team lead Jasmin Gruschke, AI architect and project expert, describes the extraordinary team spirit: 鈥淯nited by a shared vision and customer dedication, we poured our collective energy and dedication into bringing an extraordinary idea to life, demonstrating that, together, we can turn visionary concepts into remarkable realities.鈥�

麻豆原创 Document AI

Modern enterprises face a growing obstacle in an increasingly data鈥慽ntense world, reflected in the rapid proliferation of unstructured business documents. From invoices and purchase orders to contracts and shipping papers, companies are drowning in information that demands time鈥慶onsuming manual processing. 麻豆原创 Document AI tackles this challenge head鈥憃n by transforming the way enterprises extract, process, and act on document鈥慴ased data.

Today, more than 30,000 customers rely on the solution to process billions of documents, embedded seamlessly across 麻豆原创鈥檚 core applications. 麻豆原创 Document AI delivers enterprise鈥慻rade automation without costly integrations or extensive model training, enabling businesses to accelerate workflows, reduce errors, and improve decision鈥憁aking at scale. Real鈥憌orld customer data shows the tangible impact: automated document processing powered by 麻豆原创 Document AI generates an estimated 鈧�2.6 billion in annual business value.

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麻豆原创 Document AI is now natively integrated into 32 business processes across 麻豆原创 S/4HANA, 麻豆原创 Business Network, 麻豆原创 Concur solutions, 麻豆原创 Fieldglass solutions, 麻豆原创 SuccessFactors solutions, the 麻豆原创 Customer Experience portfolio, and 麻豆原创 BTP, with dozens more use cases in development. This deep embedding of 鈥渆veryday AI鈥� into products that are already in use by customers is a key driver of adoption across 麻豆原创鈥檚 global installed base.

The technology behind the solution sets new industry benchmarks. 麻豆原创 was among the early innovators in schema-based zero-shot document processing, an approach that enables AI systems to understand complex documents without task-specific retraining, and which is now widely adopted across the AI ecosystem. Even before the rise of large language models, 麻豆原创 researchers advanced the field with award-winning and trend-setting papers such as CharGrid, BERTgrid, and Charmer, AI methods designed to help computers understand documents.

The team continues to innovate with AI that learns instantly from user feedback, 鈥渟ees鈥� and interprets documents visually, and understands content well enough to take intelligent actions on it. Their next generation of generative AI models now support over 110 languages. Building on these innovations, platform usage on 麻豆原创 BTP for custom document automation has increased 285-fold since 2020, underscoring how developers worldwide are leveraging this technology to streamline business processes. Next, 麻豆原创 Document AI will launch reusable tools that empower AI agents to handle complex document workflows across industries. As unstructured data and diverse document types become central to business processes, demand for smarter, faster, and more adaptable document understanding solutions has never been higher.

Tobias Weller, chief product owner and team lead, states: 鈥淲e built 麻豆原创 Document AI to deliver measurable business value at global scale, securely, responsibly, and embedded in everyday processes, demonstrating 麻豆原创鈥檚 ability to operationalize AI at massive scale.鈥�

麻豆原创 SuccessFactors Learning: GenAI Content Generation

With AI reshaping work at unprecedented speed, organizations face a dual challenge: mastering new skills and managing overwhelming amounts of information. 麻豆原创 SuccessFactors Learning: GenAI Content Generation is a game-changing capability designed to streamline, accelerate, and scale how learning content is produced across the enterprise.

The new capability leverages advanced large language models (LLMs) to convert simple prompts or uploaded files into complete, compliant learning experiences in minutes. What previously required days, weeks, or even months, can now be accomplished almost instantly. The system generates course outlines, quizzes, interactive elements, summaries, and assessments鈥攁ll tailored to the user鈥檚 input and organizational context.

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A key innovation lies in its multi鈥慙LM orchestration, enabling dynamic selection and combination of specialized models. This ensures high accuracy, domain relevance, and enterprise鈥慻rade content governance. Real-time multilingual translation allows learning teams to launch global courses simultaneously, while AI-based skill extraction automatically aligns content with workforce development strategies.

Early validation shows organizations can produce learning content five times faster, dramatically reducing costs and enabling teams to respond more quickly to shifting skill demands. Subject-matter experts throughout the organization can now create content and share knowledge more effectively鈥攚ithout requiring instructional design expertise. By transforming knowledge into structured, scalable learning experiences, the capability helps organizations strengthen agility, boost employee engagement, and ensure continuous upskilling across the enterprise.

Team lead Neha Dhawan, principal product manager, 麻豆原创 SuccessFactors Learning, describes the impact of the project: 鈥淲e鈥檙e not just building technology, we鈥檙e building possibilities鈥攆or admins to move faster, for managers to better support their teams, and for learners to experience content that feels personal and meaningful. If we can make learning more accessible and inspiring, then we鈥檝e created something that truly matters.鈥�

Three teams were selected for outstanding and innovative projects in the categories Go-to-Market, Operational Excellence, and Products and Technology.

In 2023, 115 nominations involved more than 750 employees from 35 countries. Eight teams consisting of 81 employees from around the world made it to the final round.

In honor of the three winning teams, 麻豆原创 will make donations to three charities selected by the team members. The 鈧�30,000 total donation 鈥� 鈧�10,000 per team 鈥� will be split between , , and .

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Go-to-Market Winner

Reimagined RISE with 麻豆原创 Business Case with 麻豆原创 Signavio and 麻豆原创 Value Lifecycle Manager Integration

When shifting to a cloud-first approach, it can be a challenge to pitch the cloud to customers due to the comprehensiveness of the solution spanning across the entire value chain of an enterprise.

To apply a more streamlined and dependable method for crafting compelling value propositions, the Value Advisory team at 麻豆原创 implemented the 麻豆原创 Signavio portfolio of cloud-based business process management solutions within their practice to demonstrate value to customers through data-driven insights.

The team created a system where business metrics from and process performance data from were merged and applied to business KPIs to identify cases of suboptimal performance. This allows customers to more easily see the connection between business outcomes and the process capabilities, supported by data.

The approach offers a robust and repeatable performance diagnostic that can be used to identify, clarify, verify, and amplify value throughout the customer value journey, helping customers better understand the value of the cloud and . The innovation helps build customer trust and intimacy while also helping our business operate at scale. To date, this process-driven value management has impacted more than 190 customers.

鈥淥ur future focus involves enhancing usability and capabilities to comprehensively cover the customer value journey,鈥� Nitin Singh, team leader and Value Advisory principal, says. 鈥淲e extend our sincere gratitude to our leaders for fostering a culture of innovation, our colleagues for experimenting and navigating challenges with us, and prior colleagues whose work paved the way for this journey. We genuinely stand on the shoulders of giants.鈥� 

Operational Excellence Winner

Plutus: Rate Optimization and Management

Cloud services are a critical part of 麻豆原创鈥檚 recent evolution, with the company dedicating extensive time and resources to seamlessly integrate all essential services into the cloud. This effort aims to enhance customer experiences 鈥� and Plutus serves as the cornerstone of these endeavors.

Plutus, which leverages , is a one-stop solution for major hyperscalers. It鈥檚 crafted to empower lines of business by providing smarter and more efficient advice for optimizing cloud services. Plutus can centralize the management of cost optimization and intelligently navigate users through cloud expenses, providing top-notch recommendations and comprehensive end-to-end management. It caters to users鈥� needs from guidance to execution, helping to ensure cost savings every step of the way.

The Plutus team used cutting-edge technologies to create a 24/7, fully integrated, user-centric cloud service hub and a smooth user interface platform that can operate across various channels. Plutus provides simplified financial operations processes by offering an intuitive interface across all platforms, working to eliminate pricing disparities and provide reliable cost-saving solutions. These efforts strongly emphasize 麻豆原创鈥檚 commitment to advancing global digital sustainability through innovative enterprise solutions.

The solution uses machine learning to provide smart recommendations. The team also plans to integrate a versatile digital chatbot based on generative AI to help ensure seamless and comprehensive user support in the future.

Plutus allows for a new approach to 麻豆原创鈥檚 cloud cost optimization strategy, unlocking new avenues for significant cost savings and margin improvements. To date, Plutus has generated over US$920 million in net savings for 麻豆原创, with projections reaching $1 billion in Q1 2024. It has also achieved and maintained remarkable, best-in-industry cloud utilization and coverage rates 鈥� exceeding 97% and 90%, respectively.

鈥淲inning the Hasso Plattner Founders鈥� Award reflects our dedication to teamwork and innovation,鈥� Donghua Chen, Plutus team lead, says. 鈥淥ur journey to this point has required a lot of hard work. But as we celebrate this achievement, we remain committed to continually analyzing cloud usage to maximize savings for 麻豆原创 through rate optimization.鈥�

Products & Technology Winner

CAP and capGPT 鈥� 麻豆原创 Cloud Application Programming Model and Generative AI

The 麻豆原创 Cloud Application Programming Model (CAP) was started in 2018 as a project to address the lack of guidance for developers building apps on what is now 麻豆原创 BTP. At first, developers could choose from a huge number of technologies, which made integration with the platform services a relatively high effort.

As a development framework, CAP automatically solves about 80% of the problems backend developers face 鈥� such as multitenancy, expandability, or business features such as localization and translatability. But thanks to CAP鈥檚 domain-driven approach, it is no longer necessary to always change the coding in each of those cases. And for special use cases that CAP doesn鈥檛 cover, the coding can be easily added to build in this functionality. To help safeguard customers鈥� investments, CAP offers the possibility to interchange components, such as runtime or the database, without changing the actual implementation.

CAP, as a centerpiece of Golden Path and , is now an integral part of the consumption experience of 麻豆原创 BTP. Today, thousands of internal and external developers use CAP to build business applications on 麻豆原创 BTP, driving higher developer productivity and easier 麻豆原创 BTP service adoption.

鈥淭his award is a great testament to the hard work and dedication of the whole CAP unit and a recognition of the impact we have both internally as well as for our customers and partners,鈥� Ole Lilienthal, team lead, says.

To make prototyping even easier, in spring 2023, 麻豆原创 software architect David Kunz applied ChatGPT鈥檚 large language model to writing code for business apps.

capGPT, as the new functionality is called, allows users to write in natural language what they want their app prototype to be able to do. In as little as 30 seconds, they can receive all the code 鈥� which previously had to be written by hand 鈥� and access the prototype to test it. This can not only save experienced developers an amazing amount of time, but can also enable non-developers to create prototypes of the apps they need. capGPT can also generate user interfaces in addition to backend applications. It will soon be available to customers through integration into 麻豆原创 Build Code as part of AI-development assistant Joule.

鈥淪eeing capGPT go from an idea to a Hasso Plattner Founders鈥� Award winner within a year is a true testament that everything is possible at 麻豆原创,鈥� Kunz says. 鈥淚 feel very proud and I鈥檓 energized to continue to push the limits of what generative AI can enable.鈥�

Photo courtesy of 麻豆原创 employee Fateh Kassab

Meet the 2023 finalists in the Products and Technology category.

capGPT 鈥� Create Business Apps with Generative AI

A mixture of fright and thrill rippled through the tech community when AI chatbot ChatGPT entered the stage in December 2022, setting new standards for generative AI. In Walldorf, Germany, 麻豆原创 software architect David Kunz immediately wondered whether ChatGPT鈥檚 large language model could be applied not only to answering questions about everything and anything, but also to writing code for apps.

鈥淭o build 麻豆原创 extensions running on 麻豆原创 Business Technology Platform (麻豆原创 BTP) 鈥� even if it鈥檚 just to build a prototype 鈥� requires a lot of deep knowledge, including learning programming languages,鈥� Kunz explains. 鈥淓ven for experienced developers, it can take up to a week to complete a prototype.鈥�

Still, his suggestion of having a large language model like ChatGPT generate apps was met with skepticism.

“‘That鈥檚 too ambitious,’ was what everyone thought at the time,鈥� Kunz remembers. 鈥淭o be honest, this feedback was justified. I was not at all sure it was going to work. But I knew the general direction steps had to be taken in.鈥�

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Breakthrough on a Friday night

The idea never left him. One Friday evening in spring 2023, Kunz sat down and started to work through the steps he had outlined in his proposal earlier.

At half past midnight, he sent out a video of the successfully completed process to his colleagues. From there capGPT made its way 鈥� in a refined form able to generate not only backend applications, but also user interfaces 鈥� to CTO and Executive Board Member of 麻豆原创 SE Juergen Mueller鈥檚 麻豆原创 Sapphire keynote. 

鈥淭he support I received was amazing,鈥� says Kunz, who now divides his time between capGPT and his role as an architect with the CAP team. capGPT has been adopted by many 麻豆原创 developers for their own generative AI projects. 

capGPT allows users to write down in natural language what their app prototype should be able to do, receive all the code 鈥� which previously had to be written by hand 鈥� in as little as 30 seconds, and access the prototype to test it. This not only saves experienced developers an amazing amount of time, but also enables non-developers to create prototypes of the apps they need.

鈥淔rom experienced developers spending a week to build a prototype to anyone spending 30 seconds 鈥� that鈥檚 what capGPT does,鈥� Kunz says. 鈥淎nd by just looking at the code, it鈥檚 impossible to tell whether it was written by a human or by the machine.鈥�

CAP 鈥� The 麻豆原创 Cloud Application Programming Model

When 麻豆原创 Cloud Platform became available, there was a hot debate going in the 麻豆原创 developer community on how to best build applications on top of it.

Developers could choose from a huge number of technologies, but there was a general lack of guidance. Also, integration with the platform services required a relatively high effort.

Ole Lilienthal, senior development manager for 麻豆原创 Cloud Application Programming, says: 鈥淲e realized that, regardless of the business problem their app was supposed to solve, each developer and every development team was facing similar efforts when integrating with all the existing cloud services the platform offered.鈥�

With the 麻豆原创 Cloud Application Programming (CAP) Model, Lilienthal and his team hit the bull鈥檚-eye.

Started in 2018, the project was aiming for a programming model that could guide developers when building apps on 麻豆原创 Cloud Platform, which has evolved into what is now 麻豆原创 Business Technology Platform.

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Safeguarding Customers鈥� Investments and Increasing Speed and Productivity

鈥淲ith CAP as a development framework, we wanted to automatically solve about 80% of the problems every backend developer is facing,鈥� Lilienthal explains.

Typically, those problems include multi-tenancy, expandability, or business features such as localization and translatability. But thanks to CAP鈥檚 domain-driven approach, it is no longer necessary to always change the coding in each of those cases. As for special use cases that CAP doesn鈥檛 cover, the coding can be easily added to build in this functionality.

鈥淭his has been a huge improvement to the productivity and speed of developers and also to the alignments between development teams,鈥�  Lilienthal says.

To help safeguard customers鈥� investments, CAP offers the possibility to interchange components, such as runtime or the database, without changing the actual implementation.

As they saw the advantages CAP offers, internal 麻豆原创 developers started to migrate from their existing stacks. External feedback has been particularly good, leading over time to the forming of a wide external community around CAP.

The team 鈥� located mostly in Walldorf and Bangalore, India 鈥� took a couple of already existing innovations and created something new, and then brought it to the next level. In a world of rapidly changing cloud technologies, the 麻豆原创 Cloud Application Programming Model can accelerate development and safeguard customers鈥� investments.

麻豆原创 Ariba Category Management

Traditionally, procurement challenges involve minimizing costs, sustaining quality, and ensuring on-time delivery. But in an increasingly volatile world, procurement goals have evolved to be more complex, as they now involve running in a sustainable and socially responsible manner.

鈥淐ategory management is one of the leading practices that help procurement drive efficiencies,鈥� says Lincy T. Elizabeth, product manager for 麻豆原创 Ariba Category Management, 麻豆原创 Labs Bangalore. 鈥淚t allows organizations to categorize spend, focus on consolidation, and enhance efficiencies with a holistic view of all the requirements in terms of goods and services that are needed across multiple departments, regions, and geographical locations.鈥�

鈥淗owever, what has always kept category management from reaching its full potential is that it is a manual and data-intensive exercise that results in isolated offline strategy documents disconnected from execution systems,鈥� Elizabeth says. 鈥淚t seldom translates to successful execution and strategy compliance.鈥�

This is where the 麻豆原创 Ariba Category Management solution comes in: it can digitize this entire process.

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Positioning Procurement as an Enabler of Digital Transformation

Data analysis is key in this process, so instead of having to drill down to find information, 麻豆原创 Ariba Category Management can serve up data intelligently. It features a guided process leveraging analytics, generative AI, and modular tools 鈥� helping to make an otherwise complex, time-consuming process into a streamlined one.

Customers have acknowledged the need for digitized category management and the value that this solution brings them.

鈥淭his is very evident in the solution鈥檚 inclusion in renewal discussions and the subsequent wins,鈥� Elizabeth says. 鈥淚n fact, most customers we speak to see category management as one of the top drivers for digital transformation in their procurement organization.鈥�

麻豆原创 Ariba Category Management can empower procurement to be a catalyst in an organization’s journey towards becoming an agile, intelligent, and sustainable enterprise.

鈥淲e saw the untapped opportunities in the manual process of category management and sprang into action,鈥� Elizabeth explains. 鈥淥ur team underscores 麻豆原创鈥檚 innovative spirit as we brought this innovation to our customers in just under two years. We’re immensely proud to see the value it can provide to customers in the longer run.鈥�

Top photo courtesy of 麻豆原创 employee Hitesh Deka

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capGPT is a Hasso Plattner Founders鈥� Award 2023 finalist in the Products & Technology category.

Meet the team and find out how their innovation is helping 麻豆原创 generate business applications within seconds by using generative AI and saving time when building an initial prototype.

Learn more about the Products & Technology category finalists.

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The 麻豆原创 Cloud Application Programming Model, or CAP, helps simplify the creation of business applications in the cloud and is at the center of the 麻豆原创 Business Technology Platform (麻豆原创 BTP) consumption experience.

The 麻豆原创 Cloud Application Programming Model is one of the finalists for the 2023 Hasso Plattner Founders鈥� Award in the Products & Technology category.

Learn more about the Products & Technology category finalists.

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Category management is the foundation of an effective procurement strategy, as it allows organizations to take a holistic view of their purchases.

But until now, it has been a very manual, data-intensive process. 麻豆原创 Ariba Category Management helps digitize that process, resulting in better efficiencies and reduced costs. 麻豆原创 Ariba Category Management is one of the finalists for the 2023 Hasso Plattner Founders鈥� Award in the Products & Technology category.

Learn more about the Products & Technology category finalists.

Today, we focus on the three nominees in the Operational Excellence category.

Streamlining Customer Data Extraction: 麻豆原创鈥檚 New Customer Data Hub

In the realm of artificial intelligence (AI) development, making customer data available plays a pivotal role. Traditionally, this process could take six weeks or longer, causing substantial delays and impacting overall agility. However, the introduction of 麻豆原创鈥檚 new customer data hub has transformed this scenario, compressing the timeframe down to a brief 24-hour turnover. This accelerated pace can empower data scientists to efficiently handle multiple projects, significantly enhancing their productivity.

To extract customer data previously, 麻豆原创’s data scientists had to go through a complex, time-consuming process involving a sequential series of tasks, sifting through vast volumes of entries, and coordinating with multiple departments to extract various data components securely and compliantly.

To address this challenge, a cross-functional team spearheaded by Stefan Thomas resolved to revamp the process. The team was able to develop a prototype within six weeks using the Scaled Agile Framework and then collaborated with business and engineering teams to refine the hub. Four months of concerted effort culminated in the launch of the customer data hub in May 2023, marking its inaugural release to 麻豆原创 cloud ERP.

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Within this tool, data scientists can kick-start data extraction requests by defining the necessary extraction through a brief description of their needs. The Customer Data Office validates the request and once it is approved, the hub can seamlessly retrieve data from the data pipeline and push it into the internal data lake, consolidating it into a coherent format. The customer data hub can not only facilitate managing data access requests but also helps ensure complete transparency throughout the entire process.

Presently, the hub has processed 15 use cases and successfully extracted 550 customer data sets, marking a significant step forward in data extraction efficiency.

Empowering 100,000 Customers: The Service & Support Data Lake AI Expansion

AI has been a game changer, not just for 麻豆原创 but for the world at large. This year, 麻豆原创 took a major step forward by launching its AI copilot Joule, signaling a big change in how we handle processes and data as we embrace AI-driven business transformation. The Service & Support data lake is at the heart of this shift, aiming to enhance customer and support engineer experiences by transforming 麻豆原创’s AI-driven digital business landscape for support.

Beginning with a small, self-contained team, the project gradually engaged over 150 麻豆原创 colleagues. Throughout the process, the primary goal remained unwavering: to craft a seamless, automated system that integrates all AI components 鈥� data, governance, and services 鈥� into one accessible platform.

Collaborative experimentation across teams helped overcome significant obstacles like resistance to change and resource and technology constraints. By building and successfully operating the Service & Support data lake as a swift, seamless, and scalable value system, the team has not only met its primary goals but also helped change the customer support journey process through a dynamic system that, thanks to machine learning, is constantly evolving.

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The Service & Support data lake integrates innovation, creativity, and collaboration, acting as an AI hub that can enhance processes worldwide. This new platform has gained positive feedback throughout, highlighting AI’s role in enhancing the support journey.

At present, the Service & Support data lake has enabled 麻豆原创 to achieve annual cost savings of 鈧�20 million and it powers 100,000 customers through 40 AI applications. Popular services like Incident Solution Matching, categorization predictors, outbreak detection, and iSwarm are widely adopted in customer-facing and internal platforms like 麻豆原创 for Me and Built-In Support.

Plutus: Mastering Rate Optimization and Management

Cloud services have become a critical part of 麻豆原创’s recent evolution, sparking a significant transformation. To solidify its position as a cloud-centric company, 麻豆原创 has dedicated extensive time and resources to seamlessly integrate all essential services into the cloud. This effort aims to enhance customer experiences, with Plutus serving as the cornerstone of these endeavors.

Plutus, which leverages 麻豆原创 Business Technology Platform (麻豆原创 BTP), is a one-stop solution for major hyperscalers. It’s crafted to empower lines of business by providing smarter and more efficient advice for optimizing cloud services. Plutus takes the lead in centralizing cost optimization 鈥� also known as reserved instances (RI) 鈥� management, finely tuned for 麻豆原创’s operations. It can go beyond mere cost management, intelligently navigating users through cloud expenses to offer top-notch recommendations and comprehensive end-to-end management. From guidance to execution, it can cater to users’ needs, helping to ensure cost savings every step of the way.

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Donghua Chen and her diverse team, consisting of 60% early talent, with 40% coming directly from the 麻豆原创 Next Talent program, and 35% female-identifying engineers, set out on an ambitious five-year journey to build Plutus. Their vision was to use cutting-edge technologies to create a 24/7, fully integrated, user-centric cloud service hub. Collaborating closely with multiple colleagues, the team developed a smooth user interface platform that can operate across various channels. Furthermore, Plutus can simplify financial operations processes by offering an intuitive interface across all platforms, eliminating pricing disparities and providing reliable cost-saving solutions. These efforts strongly emphasize 麻豆原创’s commitment to advancing global digital sustainability through innovative enterprise solutions.

The team harnessed fresh ideas and diverse perspectives to identify distinct cloud cost optimization needs and implement user-centric solutions to help optimize productivity. Additionally, they recognized the potential of machine learning and AI in streamlining 麻豆原创-specific RI management and recommendations. Currently, Plutus leverages machine learning to provide smart recommendations, and the team plans to introduce generative AI to integrate a versatile digital chatbot into Plutus, working to ensure seamless and comprehensive user support in the future.

Plutus allows for a new approach to 麻豆原创’s cloud cost optimization strategy, unlocking new avenues for significant cost savings and margin improvements. To date, Plutus has generated over US$920 million in net savings for 麻豆原创, with projections reaching $1 billion in Q1 2024. It has also achieved and maintained remarkable, best-in-industry cloud utilization and coverage rates 鈥� exceeding 97% and 90%, respectively.

Top image courtesy of 麻豆原创 employee Sungmin Hwang.

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By creating AI scenarios that work together and share knowledge, 麻豆原创 is providing the speed and power of AI in its service and support experience.

The Service & Support Data Lake team is one of the finalists for the 2023 Hasso Plattner Founders鈥� Award in the Operational Excellence category.

Learn more about the Operational Excellence category finalists.

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Plutus is a Hasso Plattner Founders鈥� Award 2023 finalist in the Operational Excellence category.

Meet the team and learn how they centralize cost optimization.

Learn more about the Operational Excellence category finalists.

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The Customer Data Hub team has reduced the time necessary to curate customer data, for uses such as artificial intelligence, from six to eight weeks, to days if not hours.

In brief, it has automated a process that previously had numerous manual steps. The team is a 2023 finalist for the Hasso Plattner Founder鈥檚 Award in the Operational Excellence category.

Learn more about the Operational Excellence category finalists.

Here, we kick it off with the 2023 Go to Market finalists.

Transforming Learning in the 麻豆原创 Ecosystem

Learning within the 麻豆原创 ecosystem can be a daunting task. For both customers and 麻豆原创 professionals, it can be hard to keep up with the landscape of ever-evolving innovations and advancing technologies. Constant learning has become somewhat of a standard with the transition to the cloud, which has resulted in a greater requirement for skilled talent. Yet the team behind the 麻豆原创 Learning site noticed an unfortunate trend. 鈥淢ost 麻豆原创 professionals are not engaging in 麻豆原创 Learning and certification activities,鈥� says team leader Jan Meyer, global head of 麻豆原创 Learning Systems. 鈥淢any customers feared a skills shortage impacting their move to 麻豆原创 S/4HANA.鈥� However, the 麻豆原创 Learning team also determined that when customers and partners engaged in learning activities, there were tremendous positive effects in their technical skills and overall work satisfaction.

The next steps were therefore clear for the team. As team member Marina Noble, head of Learning Systems Product and Solution Management, states, 鈥淭hese challenges and opportunities motivated us to significantly reduce learning, experiential, and commercial barriers and to create opportunities through learning and development for everyone.鈥� Their realization led to the creation of . In doing so, they garnered support from leaders across 麻豆原创, including Customer Success, Partner Ecosystem Success, Intelligent Enterprise Group, and 麻豆原创 Learning. The goal was to tear down as many barriers to entry as possible by simplifying and consolidating information into one all-encompassing learning destination.

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Within the site, the team focused on simplifying discovery and access for all users. They eliminated the need for registration, simplified the complexity of the learning process by consolidating multiple learning destinations, and increased optimization for search engines and digital learning. They also made a wealth of learning content available for free. Timo Schuette, team member and global head of 麻豆原创 Product Learning CoE, explains how, 鈥淭oday, 191 learning journeys, many leading to 麻豆原创 certification, are available in this new experience on 麻豆原创 Learning听in front of the paywall.鈥� The results of this decision have already bore fruit, with 2023 showcasing a 250% year-over-year growth in users听and a record 1.7 million active learners. On the other side of the paywall, the team created a premium learning experience that uses key methods to help maximize learning impact. Premium users can gain access to hands-on practice systems, expert-led sessions, role-based certification, and advanced learning analytics. Additionally, the premium learning experience has been substantially reduced in cost, allowing more partners and customers to reap the benefits.

A New and Improved AI Customer Support Experience

The team behind the new听听application on 麻豆原创 for Me began with a blank slate. Instead of taking the solutions from 麻豆原创 ONE Support Launchpad and applying them听to a new application, they knew that the needs of customers using 麻豆原创 for Me were different. For instance, the get support app would house the customer service requirements of many more employees using a multitude of 麻豆原创 products. The case creation process would therefore have to properly support Digital Core & Platform and People & Operations, as well as 麻豆原创 Signavio, 麻豆原创 Fieldglass, and 麻豆原创 Ariba solutions. Additionally, due to the influx in customer volume, it became a necessity to increase the customer self-service rate while making sure customers could still connect with the right experts to solve their issues.

The team found their solution to these challenges in the implementation of AI. Built alongside the Artificial Intelligence Technologies team in the Customer Support & Innovation organization, they utilized the innovative technology to help reduce customer effort and improve the accuracy of responses. One of the key improvements AI has facilitated within the get support app is helping customers correctly qualify their problems through the channel recommender. As explained by John Bowley, team leader and product manager of Support Applications in 麻豆原创 for Me, 鈥淏ased on data analysis, an AI service derives the most suitable support channel to solve an issue, whether that is 麻豆原创 Community or Expert Chat.鈥�

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The team also used AI to help improve the self-service features of the app. While customers are providing information and getting support, an AI service will run alongside and present relevant knowledge articles to the customer. These articles will be based on customer input and will happen in parallel with the customer receiving support, helping to expedite the whole process.

The new and improved get support app has already proven itself with positive outcomes. There is now a significant increase in the percentage of customers that start the case creation process within the app but don鈥檛 fully create a support case (64.5%, up from 32% in the previous application). This means that these customers began searching for help in the app and found a solution during the process without needing to create a case. Additionally, the app helps bolster the operational efficiency of the 麻豆原创 support organization with its improvements in routing customers to the right support teams.

Reimagining Sales Engagements with 麻豆原创 Signavio

The Value Advisory team collaborates with customers to help link their business strategies and experiences to their desired outcomes. But in the process of shifting to a cloud-first approach, the team faced a dilemma: it became apparent that their sales engagement strategy required modernization. An increase in the volume of deals within the cloud space required a faster, more efficient, and more consistent sales engagement approach that aligns with the specific needs of the customer. And pitching the cloud to customers came with its own unique crop of difficulties. 鈥淛ustifying the value of cloud [to customers] is challenging due to the comprehensiveness of the solution spanning across the entire value chain of an enterprise,鈥� says Nitin Singh, team leader and Value Advisory principal. The team knew that a data-driven sales perspective was the key to a more streamlined and dependable method for crafting compelling value propositions.

To aid them in this endeavor, the team implemented the听 portfolio of cloud-based business process management solutions within their practice to demonstrate value to customers through data-driven insights. As Singh explains, 鈥淭his new approach involved merging business metrics from听听with process performance data from 麻豆原创 Signavio solutions. This integration allowed our customers to clearly see the connection between business outcomes and the process capabilities supported by data.鈥�

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Previously, business cases relied on benchmarking a customer鈥檚 performance KPIs against competitors in specific functions, like finance and asset management, demonstrating problematic areas within the business. 麻豆原创 Signavio solutions, on the other hand, rely on analyzing performance through metrics such as work order automation and backlogs, which in turn identify specific pain points. The team combined these two approaches 鈥� business centric and process centric 鈥� to create a system where data produced by 麻豆原创 Signavio solutions was applied to business鈥� KPIs to help identify cases of suboptimal performance.

So far, this new approach has impacted 170 customers. The approach offers a highly repeatable performance diagnostic that can be utilized across the 麻豆原创 sales landscape. 鈥淚t can be used to identify, clarify, verify, and amplify value throughout the customer value journey,鈥� says Singh. With the merging of 麻豆原创 Signavio and Value Advisory, the team even wound up creating a new category: process-driven value management. Customer feedback regarding the innovation has already proven to be incredibly positive.

Top photo courtesy of 麻豆原创 employee Denise Moll

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The 麻豆原创 Signavio & 麻豆原创 Value Lifecycle Manager Integration team is a Hasso Plattner Founders鈥� Award 2023 finalist in the Go to Market category.

Find out how the 麻豆原创 team has integrated 麻豆原创 Signavio solutions with 麻豆原创 Value Lifecycle Manager to provide customers with business cases based on their own system data to help evaluate potential IT projects.

Learn more about the Go to Market category finalists.

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麻豆原创 Learning Site and Learning Business Transformation is a Hasso Plattner Founders鈥� Award 2023 finalist in the Go to Market category.

Meet the team and find out how their innovation designed a new learning experience.

Learn more about the Go to Market category finalists.

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The AI-Powered Customer Support Experience team is a Hasso Plattner Founders鈥� Award 2023 finalist in the Go to Market category.

Meet the team and find out how the finalist uses artificial intelligence to quickly get customers the support they need.

Learn more about the Go to Market category finalists.

Three teams were selected for outstanding and innovative projects in the categories Go-To-Market, Operational Excellence, and Products and Technology.

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In 2022, 132 nominations involved almost 1,000 employees from 42 countries. Nine teams consisting of 83 employees from around the world made it to the final round. The three winning teams chose the charity organizations 补苍诲听, to which 麻豆原创 will donate 鈧�10,000 on behalf of each team 鈥� 鈧�30,000 total.

Go-to-Market Winner

听Midmarket Business Always-On Platform of EMEA North

To simplify and humanize how 麻豆原创 connects with its prospects and customers, the Midmarket Business Always-On Platform of EMEA North puts 麻豆原创 customers in the driving seat when it comes to discovering the right solutions for their business requirements.

The platform creates an immersive and interactive way to tell the 麻豆原创 story by simulating a conference center with floors, elevators, and meeting rooms. Users can play demos, watch videos, partake in visit summits and exhibitions, ask questions, book meetings, and receive relevant follow-up, all thanks to the platform鈥檚 built-in analytics. The team used 麻豆原创-owned technology as well as their own developments.

Launched in 2020, the platform has generated over 鈧�80 million in pipeline, achieved 60% net-new named customers, and led to the signing of more than 150 deals.

鈥淚鈥檓 really proud of the job the team members around the globe have done and how this award recognizes the impact of our digital platform,鈥� said Sandrine Pons, RVP Solution Sales & Innovation EMEA North, on winning the Hasso Plattner Founders鈥� Award.

Amaury Martin, region solution sales leader, added: 鈥淭o come up with an idea and to watch it come true and have such an impact on our customers鈥� value journey 鈥� that was really impressive.鈥�

To bring the platform to the next level, the team plans to integrate it with other solutions. As Olivier Demeusy, regional CoE BTP senior director, described: 鈥淚t started out as a regional platform, but we know this can cater to a wider audience within the company and with our customers and partners.鈥�

Innovation is also a matter of humanity. As Sophie Brun, chief executive assistant, said: 鈥淭he platform reflects in many ways the amazing diversity among our team, our partners, and our customers.鈥�

Operational Excellence Winner

Harmonized Adoption and Usage Management with 麻豆原创 Usage Analyzer

How many customers have adopted an 麻豆原创 solution? How many of them are using each functionality? Answers to these and many other questions around adoption, consumption, and usage can be found easily in 麻豆原创 Usage Analyzer.

With the Harmonized Adoption and Usage Management (HAUM) project, a core team of 25 and many contributors from Product Engineering and Customer Success established a standardized framework for scalable and sustainable functional usage measurement, creating a holistic view of customers鈥� usage behaviors. 麻豆原创 Usage Analyzer helps provide transparency on adoption and usage insights on 麻豆原创鈥檚 cloud customer base, across all public cloud products and aligned with business practices. Harmonized usage insights can be leveraged to positively impact renewals, product investments, and reduce manual efforts.

鈥淧ersistence and teamwork are the key elements. You need to stick to your goal, and you cannot afford to work in a silo,鈥� Martin G眉nther, HAUM project co-lead, summed up as his most important learning. Natascha Pl眉cken, HAUM project co-lead, added, 鈥淵ou need people who believe in something where others don鈥檛 and really go through it without giving up. Kudos to all teams who contributed across different functions and business units at 麻豆原创.鈥�

As of today, 麻豆原创 Usage Analyzer has been successfully rolled out to customer-facing roles, solutions, and product and portfolio management teams. More than 75% of the enabled group is regularly working with it.

鈥淲hen you have a vision and you work on that vision for years, then to realize that this vision gets honored by the company and all the people who have been involved in this 鈥� it鈥檚 a super good feeling,鈥� Thorsten Broszies, former project co-lead, commented on winning the Hasso Plattner Founders鈥� Award.

And this vision is not accomplished yet, Iva Stoj膷i膰, transformation lead, 麻豆原创 Corporate Transformation Organization, concluded: 鈥淲e will take adoption to the next level by providing proactive recommendations, KPI benchmarking, and mapping usage with end-to-end business processes. Additionally, we will provide usage insights to our customers and partners.鈥�

Products and Technology Winner

麻豆原创 Intelligent Agriculture

In the agribusiness and along the food value chain, there are increasing concerns about sustainability, how to make regenerative agriculture profitable, and how to remain competitive.

麻豆原创 Intelligent Agriculture helps make next-generation, data-driven farming processes and services a reality. For the first time, 麻豆原创 customers can now rely on an enterprise-grade, native cloud solution to help capture and manage farm data at a granular level and optimize farm planning and operations based on their valuable experience. Combined with artificial intelligence (AI) and data science models, agribusinesses now have the potential to produce more while reducing water, fertilizer, and pesticides. 麻豆原创 Intelligent Agriculture is also a front-runner in multiple areas, such as feature-driven development supported by deploy with confidence, which helps release new features instantly, and the new Industry Cloud Enterprise Agreement.

鈥淚t’s overwhelming to win this award against such tough competition,鈥� Cedrik Kern, solution owner, 麻豆原创 Intelligent Agriculture, commented. 鈥淭he innovative spirit around the Hasso Plattner Founders鈥� Award is incredible and to be chosen is just pure joy.鈥�

鈥淭his is a testament to us that we are doing the right thing,鈥� Florian Waidner, product manager, 麻豆原创 Intelligent Agriculture, added. 鈥溌槎乖� Intelligent Agriculture is a young product, just a year in the market and in its early adopter phase. As a next step, we want to further scale with customers and a vast partner ecosystem that we are building up.鈥�

Also, a showcase for 麻豆原创 Sapphire Orlando is in the making. 鈥淲ith vegan ice cream as the example, we will show the end-to-end food value chain starting on the farm gate over to sourcing from farmers, manufacturing, and delivering to the consumer,鈥� Anja Strothk盲mper, global vice president, Industry Business Unit Agribusiness & Commodity Management, explained.

Here, meet the finalists in the Products and Technology category.

The Hasso Plattner Founders鈥� Award is the highest
employee recognition at 麻豆原创, awarded annually by the CEO
to an individual or a team.

Finalist: Carbon Data Network

In the chase for net zero, all businesses must disclose their carbon emissions, but aggregating verified emissions data along their entire supply chains is not possible.

Considering the limited accuracy of public emission databases often used for measurements, numerous suppliers and countries, and no common standards for measuring, auditing, or verifying carbon emissions, pressure is growing on businesses for transparent, credible supply chain emission information.

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鈥淚f you don鈥檛 have the underlying data about the entire footprint of carbon emissions in the supply chain, how are you going to make good decisions about your suppliers? It鈥檚 just not possible if you don鈥檛 have good quality data,鈥� says Marcus Krug, product manager at 麻豆原创.

In addition to verifiable emissions data, the team around Carbon Data Network realized that the carbon emissions sustainability space has a unique feature: all industries — or, at a minimum, certain sectors of industry — are potentially interconnected, regardless of vendor, size, or country. Ultimately, nearly every business, large or small, must track emissions. Any boundaries would be artificial and could exclude businesses.

To secure success in this space, networks must be open and inclusive. How can such a network be secure, trusted and credible?

Decarbonization Is a Team Sport

Using blockchain technology, zero-knowledge proofs, and self-sovereign identity (SSI), the team created Carbon Data Network, an interoperable network that is open to all businesses while safeguarding business data privacy and verifying carbon emissions.

Trusted issuers assign decentralized identities as verifiable credentials to businesses joining the Carbon Data Network. With SSI, businesses have control over when and how they share emissions data. When a request for emissions data is sent to a business (data owner) from another business (requester), the data owner transfers the requested emissions data directly from its back end to the requester’s back end. Zero-knowledge proofs verify accounting standards in the emissions calculations.

Pilot customers include Maersk and H&M, , among others. The team also has proof feasibility in the Chinese blockchain infrastructure, as well as the EU and U.S.

Decentralized and open, Carbon Data Network can be monetized via the network clients. If successful, this network will connect businesses globally and extend the reach of 麻豆原创 Business Network. A plan to issue decentralized identities to the 3 million customers in 麻豆原创 Business Network offers another possible revenue stream for 麻豆原创; existing 麻豆原创 Business Network customers will request emissions data from non-麻豆原创 Business Network customers.

Decarbonization Is a Global Collaborative Process

With a permission-less blockchain infrastructure and an extremely low barrier for entry, Carbon Data Network offers a vendor-neutral network. Decentralized identifiers guarantee that businesses in the network can be trusted, so every business on the planet will have access to verifiable carbon emissions data and decarbonization becomes a global collaborative process.

Finalist Fast Facts

• Submission Title: Carbon Data Network
• Team: Marcus Krug, Mehran Shakeri, Nicola Zanon, Anne Taubitz, Niko Lockenvitz, Madhubala Ganesan, Pembe Karahan, Phipps Xue, Jesper Schleimann, Mohan Shekar, Yan Zhao, Pouline Mensen
• Number of employees: 12
• Achievement: An open, decentralized network application allows every business on the planet — regardless of geography, industry, or company size — to share trustworthy, verifiable carbon emission data with each other.
• Impact: The ability to measure and reduce carbon emissions influences the planet’s decarbonization. The established network could be leveraged to enable any other cross-company business collaboration and is not restricted to sharing only carbon emission data.

Finalist: 麻豆原创 Intelligent Agriculture

While more than one quarter of the global workforce is employed in agriculture and feeds Earth’s population, agriculture is currently facing an unprecedented mix of challenges driven by climate change, global conflicts, and limited resources.

All players along the agribusiness and food value chain are increasingly concerned about sustainability, how to make regenerative agriculture profitable, and how to remain competitive. A common vision has emerged of efficient, sustainable, and resilient agriculture.

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The team around 麻豆原创 Intelligent Agriculture leveraged the 麻豆原创 Advisory Council for Agribusiness and worked with the associated Workgroup for Efficient and Sustainable Farming with 14 customers to understand needs and challenges.

鈥淲e discovered that the vision of applying technology to make farming smart in many aspects just practically wasn鈥檛 working yet,鈥� recalls Cedrik Kern, solution owner at 麻豆原创. “Many of our customers had already invested in new capabilities such as drones and AI models, but had significant challenges to leverage these investments in their day-to-day farming processes, services, and decisions.”

Industry Cloud Solution Helps Future Food Security

鈥淲e knew we needed to deliver fast to capture a critical time window in the market, so the whole team committed to releasing after only nine months of development,鈥� says Florian Waidner, product manager at 麻豆原创. “The team worked relentlessly and we were able to get the solution to the market in time, which is truly remarkable.”

麻豆原创 Intelligent Agriculture makes next-generation, data-driven farming processes and services a reality. For the first time, 麻豆原创 customers can now rely on an enterprise-grade, native cloud solution to capture and manage farm data at a granular level and optimize farm planning and operations based on their valuable experience. Combined with artificial intelligence (AI) and data science models, agribusinesses now have the potential to produce more while reducing water, fertilizer, and pesticides.

Driving innovation, 麻豆原创 Intelligent Agriculture is also a frontrunner in multiple areas, such as feature-driven development supported by deploy with confidence, which helps to release new features instantly, and the new Industry Cloud Enterprise Agreement.

Royal Eswatini Sugar Corporation Limited is already on board as an early adopter customer, with others in the pipeline.

Farming for the Future

麻豆原创 Intelligent Agriculture is unlocking a market of intelligent farming operations for 麻豆原创 鈥� estimated to be worth US$1 to $2 billion 鈥� empowering agriculture customers to remain competitive, run resilient operations, farm efficiently and sustainably, and help ensure food security.

Finalist Fast Facts

• Submission Title:听麻豆原创 Intelligent Agriculture 鈥� Sustainably Feeding the World
• Team: Cross-functional team
• Number of employees: Core team of approximately 50, with many other stakeholders and supporters across the company
• Achievement: Enabling data-driven farming processes and services for more a sustainable, efficient, and resilient agricultural production, now working with the first early adoption customer to bring the solution capabilities to the field.
• Impact: Enormous potential for 麻豆原创 to grow with cloud solutions in the agribusiness industry’s total addressable market of US$5 to $10 billion, with the solution as a driver and enabler for 麻豆原创 S/4HANA, 麻豆原创 Digital Supply Chain, 麻豆原创 Business Technology Platform, and 麻豆原创 Customer Experience solutions in the space.

Finalist: Feather by 麻豆原创

Brand retailers often use dedicated brand-owned channels to sell their premium apparel. These channels offer carefully curated customer journeys and customer touchpoints. Outstanding customer experience is the key to customer brand loyalty.

However, Joanna Maryeswka, general manager and founder of the 麻豆原创.iO Venture Studio program in New York, experienced another journey when selling and buying secondhand brand apparel, a journey that 鈥渇elt very tedious鈥� to her as a customer. 鈥淲hy,鈥� she wondered, 鈥渁re these consignment marketplaces making so much money out of a product they never made?鈥�

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Venture capital funding trends today are showing the continued rise of the secondhand apparel market. One estimate projects that the global market for secondhand apparel will grow 127% to US$218 billion in the next five years, driven in part by a demographic looking for lower acquisition costs, concern for the planet, or both.

How can brand retailers appeal to this market, particularly consumers motivated by lower acquisition costs and concern for the planet? How can they take control of their secondhand apparel, monetize it, promote responsible consumption, and protect their brand?

Apparel Retailers Grow Sales Without Manufacturing More

The answer is Feather by 麻豆原创, which unlocks recommerce, a new growth area for 麻豆原创 and brand retailers, with an end-to-end solution to launch, manage, and scale resell.

Built on a cloud-based platform, Feather by 麻豆原创, now part of the 麻豆原创 Customer Experience portfolio, comprises back-end integrations and workflows that feed all transaction data to a reporting dashboard. From managing inventory and taking back the apparel to issuing store credits, preparing apparel for recommerce, and posting the apparel to a branded storefront, Feather by 麻豆原创 manages the complete resell cycle.

From five full-time members after their first year to 11 today, the lean team has had more than 30 customer engagements, including Tapestry, PVH, and one active pilot customer, Sports Basement.

Fashion for the Future

With this new business model and solution, Feather by 麻豆原创 is shifting brand retailers from a linear to a circular business model, increasing business value with no additional resource consumption with a model that manages the green line, unlocks a new market for customers and 麻豆原创, and grows the customer鈥檚 and 麻豆原创鈥檚 top line at the same time.

Finalist Fast Facts

• Submission Title: Feather by 麻豆原创 鈥� Reimagine Recommerce
• Team: Joanna Maryewska, Raghunath Posa, Kenneth Fajardo, and a global team spanning four continents
• Number of employees: 11 employees supported by fellows and interns
• Achievement: The enterprise-ready鈥痚nd-to-end solution for a new sustainable business model of resale had its first customer onboarded, a planned a recommerce pilot, and more than 30+ accounts engaged this year. Resale capabilities to 麻豆原创 customers at scale are in the pipeline.
• Impact: For a better, more sustainable tomorrow, Feather by 麻豆原创 is an enabler for launching and scaling recommerce, allowing customers to purchase, manage, and resell pre-owned goods while simultaneously tracking key financial and performance indicators.

Here, meet the finalists in the Operational Excellence category.

The Hasso Plattner Founders鈥� Award is the highest
employee recognition at 麻豆原创, awarded annually by the CEO
to an individual or a team.

Finalist: Harmonized Adoption and Usage Management with Usage Analyzer

How many customers have adopted an 麻豆原创 solution? How many of them are using which functionality? Answers to those and many other questions around adoption, consumption, and usage can now be found more easily.

In the past, harmonized usage data and KPIs were not available. Insights were only available in silos and high manual efforts were required to create a holistic view of customers鈥� usage behaviors, which resulted in missed opportunities to generate additional revenue and value.

Unwilling to accept the status quo, a cross-functional team initiated the Harmonized Adoption and Usage Management project. Together they established a standardized framework for scalable and sustainable functional usage measurement. This included the design, rollout, and execution of usage metering standards, along with central data collection leveraging state-of-the-art technologies. Ultimately, Usage Analyzer was developed, providing a 360-degree view of cloud customers and public cloud products.

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听As of today, the Usage Analyzer has been successfully rolled out to select customer-facing roles, solutions, and product and portfolio management teams. More than 75% of the enabled group are regularly working with it.

Usage Analyzer provides intuitive, role-based, and concise views into the way customers adopt and consume 麻豆原创 products. The Customer Success organization leverages these usage insights to prepare customer meetings, drive adoption campaigns, and perform intelligent goal planning based on usage patterns. Product and solution management teams make use of this data to prioritize their investments and to monitor product adoption and release success.

What鈥檚 next on the team鈥檚 list? They continue to engage with business experts to expand the integration of usage insights into day-to-day activities and operations. The continuous growth of harmonized telemetric data points across cloud solutions from 麻豆原创 will remain a key focus. Furthermore, the Harmonized Adoption and Usage Management team is evaluating possibilities to display usage information and KPIs along end-to-end processes to illustrate and highlight the value that 麻豆原创 software provides to customers.

Finalist Fast Facts

• Submission Title: Harmonized Adoption and Usage Management with Usage Analyzer
• Team:听Martin Guenther, Natascha Pluecken, Carmen Fuhlbruegge, Martin Layer, Rainer Hillebrand, Denise Schmidt, Raquel Torrents, Iva Stojcic, Richard Grandpierre,听Thorsten Broszies
• Number of employees:听10
• Achievement:听The Usage Analyzer听provides transparency on harmonized adoption and usage insights on 麻豆原创’s cloud customer base, across all cloud products and all aligned with business practices
• Impact: Harmonized usage insights positively impact renewals and product investments, and reduce manual efforts.

Finalist: Multicloud Hyperscaler Event Monitor

Prior to the development of Multicloud Hyperscaler Event Monitor, responses to public cloud outages were reactive.

鈥淎 lack of real-time, relevant data made collaboration across incident management and problem management teams a challenge,鈥� explains David Cruickshank, vice president of Multicloud DevOps at 麻豆原创, GCS Multicloud.

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But Multicloud Hyperscaler Event Monitor delivers a continuous feed of events for all hyperscaler services consumed by 麻豆原创 cloud accounts and users.

By pulling health event data from hyperscaler service health APIs, the team provided an aggregated view of public cloud outages across AWS, Azure, and Google Cloud Platform. The hyperscaler data is enriched with metadata from multicloud internal proprietary systems, bringing additional context — including the name of the line of business responsible for the cloud account and the cloud accounts that are hosting production systems.

As a next step, the team correlated the data from support tickets raised by 麻豆原创 lines of business with hyperscalers in order to accelerate confirmation of impact and lower mean time to resolve.

Process for Centralized Public Cloud Services

The team went on to automate identification of service-level agreement (SLA) violations by monitoring SLA performance for the hyperscalers鈥� platform services. The SLA violations are published on a dedicated dashboard and SLA credit requests are raised automatically with hyperscalers.

Additionally, a risk report highlighted that 麻豆原创 historically had not initiated claims for SLA credit from public cloud provider partners after outages impacting 麻豆原创 services. The team was tasked with mitigating this and implementing a centralized SLA credit claiming service.

鈥淎s more 麻豆原创-critical platforms, applications, and data come to rely upon the infrastructure and services of public cloud providers, SLAs represent a commitment to customers to meet fundamental operating requirements,” Cruickshank shares. “The Multicloud Hyperscaler Event Monitor provides an automated, accurate, and centralized service, filing SLA claims on behalf of lines of business when hyperscaler commitments fail.”

The enriched data brings early awareness and visibility to teams that need it during public cloud provider outages. This is especially relevant for mission-critical services like the medical industry and government agencies.

Finalist Fast Facts

• Submission Title: Multicloud Hyperscaler Event Monitor
• Team:听David Cruickshank, Richard Bolan, Gerry McPhillips, Darren Chambers, Eimear O’Hare, Joey Lee, Abhishek Yadav, Xander O’Dempsey, Chandradhar Alla
• Number of employees: Nine
• Achievement: First-ever central aggregated view of service health events and support tickets across AWS, Azure, and Google Cloud Platform. The centralized monitoring of hyperscaler platform services has resulted in identification of hyperscaler SLA violations through automation and successful SLA credit claims for lines of business.
• Impact: Enhanced visibility and awareness during hyperscaler service outages for 麻豆原创 lines of business, central incident response teams, and other key stakeholders, contributing to reduction in mean time to resolve for incidents and increased operational excellence through early awareness of incidents. Successful identification and raising of SLA credit claims, helping ensure that 麻豆原创 can run more efficiently in the public cloud.

Finalist: CMI Crystal Ball

What if every single 麻豆原创 seller and marketer had a crystal ball that gave them unique, data-driven insights into their customers鈥� in-moment buying interests and strategic needs?

The majority of customers鈥� buying journey has now become digital, a trend that has only accelerated post-COVID-19. Customers are more empowered than ever to explore, learn, and find solutions — all online. CMI Crystal Ball was built with one simple goal: to listen to customers鈥� needs within their digital journey to serve them in compelling and predictive ways.

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Built by passionate data enthusiasts from across the CMI and IES Infused Intelligence teams, the CMI Crystal Ball platform injects billions of external digital signals from various data vendors. A common taxonomy model allows that data to seamlessly “talk” to each other. Finally, sophisticated patent-pending scoring algorithms driven by artificial intelligence (AI) are applied to predict exactly which companies 麻豆原创 should prioritize by use case.

Empowering Every Employee with Data-Driven Customer Insights

Starting with 50 pilot users in North America, the excitement has grown to well over 7,000 active users worldwide. And the underlying data graph has grown just as fast, now covering all 1.3 million accounts in CRM plus 10 million more outside CRM.

This had also led to a wave of grassroots ingenuity from customer teams all over the world that are applying CMI Crystal Ball in an ever-expanding list of use cases, including prospecting, cross and upsell, net-new logos, competitive attack, digital activation, events, renewals, and churn.

鈥淎s an AI-driven platform designed to listen to customers鈥� needs, CMI Crystal Ball is truly unique in the market,鈥� says Paul Logue, head of 麻豆原创 CMI. 鈥淓nabling 麻豆原创 with data-driven insights on our customers — well before our competition — can set us apart in our ability to serve our customers鈥� most precise needs.鈥�

Finalist Fast Facts

• Submission Title: CMI Crystal Ball
• Team: Paul Logue, Franklin Herbas, William Doyle, Roja Saidi, Shreerang Javadekar, Susanne Beckers, Christoph Kommer, Damien Garnier, Behroz Sikander, Wei-Yi Chen
• Number of employees:听10
• Achievement: The team鈥檚 achievements are recognized through broad adoption, with 7,000 users per quarter, as well as significant business impact.听 Externally, CMI Crystal Ball has received several industry awards from leading sales and marketing organizations (IDG, ITSMA, CIO 100) and has two pending patents (SuperScore, Topic Networks).
• Impact: Crystal Ball supercharges account engagement as measured by website clicks and registrations, a 6x to 39x increase, and major event registrations, 546 new to 麻豆原创 TechEd 2022. In progressing and closing business, accounts with high predictive scores have 2.9x larger deal values and $210 million revenue influenced in Outreach.io.

Here, meet the 2022 Go to Market finalists.

The Hasso Plattner Founders鈥� Award is the highest
employee recognition at , awarded annually by the CEO
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Demo Experiences with Persona-Driven Storytelling

Every customer journey leads to opportunities for 麻豆原创 to showcase solutions, shape its market presence, and demonstrate value to its customers. 鈥淗owever,鈥� says Milan Cerny, who works in Value Experience at 麻豆原创, “one of the biggest issues addressed is that customers often do not understand our offerings well enough.”

This finding was the trigger for Cerny and his team of nine to work on the demo tool Interactive Value Journeys. It closes the gap between high-level marketing materials and in-depth product demos by providing a platform for value-driven storytelling for customers, focusing on their business needs and how 麻豆原创 can help.

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The team, which consists of designers, developers, and solution managers in various locations across Germany, started working on a prototype in May of 2021. They quickly rolled it out to a select group of early adopters to achieve efficient feedback and development cycles. Based on initial input, the team developed the foundation of their demo tool, including the mandatory inclusion of personas and value drivers in each journey. Incremental improvements have led to a larger release, which reflected the feedback gathered from usability testing, interviews, and the embedded feedback functionality.

The creation and authoring of Interactive Value Journeys require very little effort, as the tool standardizes visual and structural aspects and thus takes away complexity from authors. This does not limit flexibility in how content is laid out and put together; rather, it allows authors to focus on the content and storytelling.

The Interactive Value Journeys tool already has an active authoring community and has been used in various customer scenarios, on the partner portal, and in other instances. Cerny is confident about its future: 鈥淢ore than 4,700 unique users and over 68,000 hits in 2022 prove that Interactive Value Journeys should become an additional, essential piece of the tool kit 麻豆原创 is using to position itself in the market.鈥�

Finalist Fast Facts

• Submission Title:听Interactive Value Journeys
• Team: Elena Baur, Lina Gonzalez Garcia, Ruben Stoesser, Carlo Kloss, Marco Heumann, Christian Weber, Helena Schloeter, Tim Krohne, Milan Cerny
• Number of employees:听Nine
• Achievement: The development and launch of a standardized, consistent, and highly customizable solution to deliver value-centric and persona-driven demo experiences
• Impact: Interactive Value Journeys provide simplified yet relevant content that focuses on customers鈥� needs and challenges, serving as a valuable addition to no-touch and low-touch customer engagements.

Optimized and Data Privacy-Compliant Conversations with Customers

Sales and marketing executives are often flying in the dark when determining a customer鈥檚 interest and if they are allowed to talk to them considering data privacy restrictions. That is why Christopher Salvatore and seven colleagues from the Data Privacy, Compliance, and Technology team came up with their idea.

鈥淲e wanted to qualify the customer as center of the decision and, by analyzing what specific topic they want from us with an all-encompassing view, if we are allowed to even talk to them under privacy law,鈥� Salvatore says.

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The team developed Contact Interest Intelligence, a tool that uses contact interaction data from various sales and marketing systems and, via a new Contact Interest Intelligence engine, determines if 麻豆原创 has legitimate interest to communicate with a contact and in which topics they are interested.

The team consists of data privacy professionals from sales and marketing, data curators, operational leads, source systems, and 麻豆原创 Business Technology Platform (麻豆原创 BTP) cloud architects, and has been working on the tool for four years. It was built with the requirements of two business units: global sales and marketing.

鈥淔or sales, it started with a privacy-focused idea around automating the understanding and legal basis of legitimate interest. For marketing, it was a need to recognize the contacts鈥� 鈥榯opic鈥� interest from an operational and privacy perspective,” Salvatore explains. “It was not until we combined efforts that we saw this program take off.鈥�

Contact Interest Intelligence first enables specific customer interest conversations by eliminating redundant and conflicting messages, so the customer or prospect receives focused, relevant responses from both 麻豆原创 sales and marketing. The result is a better, streamlined 麻豆原创 experience for customers. Additionally, the prospect opts out less because they are receiving information relevant to their needs.

Next, Contact Interest Intelligence offers legitimate interest calculations. The tool considers more than 80 different global data privacy laws, export controls, and the like, taking the complexity away from sales and marketing. Based on previous interactions with sales and marketing, the tool also suggests next steps for the contact on their topic of interest.

The team is using cloud solutions from 麻豆原创, such as 麻豆原创 BTP, 麻豆原创 Event Mesh, and 麻豆原创 HANA Cloud, to show that 麻豆原创 can innovate from within. Recently, they submitted Contact Interest Intelligence for a global patent, and plan to commercialize the tool sometime in late 2023.

Finalist Fast Facts

• Submission Title: Contact Interest Intelligence
• Team: Mike Hollitscher, Scott Lawley, Christopher Salvatore, Asha Iyengar, Subrah Kappagantula, James Pagel, Pavan Yanmanagandla, Benjamin Smokovich
• Number of employees: A team of eight, with many subject matter experts and supporters over the past four years
• Achievement: Enables optimized and data privacy-compliant conversations with customers
• Impact: Contact Interest Intelligence is U.S. patent pending and commercialization is planned for 2023. It could make 麻豆原创 a leader in privacy and sales optimization tools.

Finalist: Digital, Customer-Centric Platform for Sales Acceleration

Back in 2019, Sandrine Pons, project leader in the Solution Sales & Innovation team, Midmarket EMEA North, set a task for her team: 鈥淲e need to put our customers in the driving seat on their journey to discover the right solutions for their business requirements.鈥�

The team of eight accepted the challenge. They wanted to simplify and humanize the way 麻豆原创 connects with its prospects and customers and make it more sustainable.

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During their search for the right solutions to business challenges, the team found that customers required more than just demos. 鈥淐ustomers want to deep dive into topics by line of business and industries, understand the ecosystem of 麻豆原创, find references from peers, and explore other opportunities and future innovations,鈥� says Pons. 鈥淚n short, the customers need to interact with 麻豆原创 in a meaningful and holistic way.”

When COVID-19 hit, the team had to rethink the traditional method of physical engagement — everything needed to become digital, but still maintain that human element. To adapt to the 鈥渘ew normal,鈥� they started working on the digital, all-in-one Midmarket Business Always-On Platform for EMEA North.

Pons’ team reached out to more than 400 contributors from around the world and harnessed the talents of storytellers, designers, technical experts, sales, and business people to bring the best customer experience into existence. The task was to create an immersive, entertaining, and interactive way to tell the 麻豆原创 story. The platform is designed to simulate a conference center with different floors, lifts, and rooms. Users can play demos, watch videos, visit summits and exhibitions, ask questions, book meetings, and receive relevant follow-up thanks to built-in analytics. The team has used 麻豆原创-owned technology as well as their own development.

Midmarket Business Always-On Platform for EMEA North was launched in 2020 and is running continually with measured impact each year. According to the finalist team, with each euro invested, the tool generated 鈧�30 in pipeline in 2022 and 鈧�85 million altogether. The platform was also adopted by the North America Midmarket team and other line of business customer territories.

鈥淎s we upscale and develop our design and content, the platform is becoming an increasingly valuable resource for sales, partners, and customers alike, but also for consultants, analysts, future talents, and anyone outside of the technology industry,鈥� Pons says. The team also implemented personalized follow-up options based on built-in data applications to amplify the impact of the platform.

Finalist Fast Facts

• Submission Title: Midmarket Business Always-On Platform
• Team: Sandrine Pons, Enda Kilroy, Sanne Corneliussen, Amaury Martin, Neil Howarth, Olivier Demeusy, Sophie Brun, Linh Le Dinh Thuy
• Number of employees: Eight
• Achievement: A breakthrough, digital, and customer-first platform that has generated over 鈧�80 million in pipeline, achieved 60% net-new named customers, and signed more than 150 deals since 2020. It has scaled to run different events for all customer territories and regions around the globe, with two-times year-over-year growth.
• Impact: Midmarket Business Always-On Platform transforms 麻豆原创鈥檚 digital engagement with partners, customers, and prospects using our own technologies. Instigates a digital breakthrough with scalable opportunities that will directly generate pipeline and impact sales revenue. The platform has a 92% customer satisfaction rate.