麻豆原创 Data Unleashed Archives - 麻豆原创 Africa News Center News & Information About 麻豆原创 Thu, 07 Mar 2024 09:04:25 +0000 en-ZA hourly 1 https://wordpress.org/?v=6.9.4 麻豆原创 Shapes the Future of Data-Driven Business Transformation with Innovations that Equip Customers to Succeed in the Era of AI /africa/2024/03/sap-shapes-the-future-of-data-driven-business-transformation-with-innovations-that-equip-customers-to-succeed-in-the-era-of-ai/ Thu, 07 Mar 2024 09:04:25 +0000 /africa/?p=147268 WALLDORF, Germany 鈥 March 06, 2024 鈥 麻豆原创 SE (NYSE: 麻豆原创) today announced transformative data innovations that will help customers harness the full power of...

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WALLDORF, Germany March 06, 2024 (NYSE: 麻豆原创) today announced transformative data innovations that will help customers harness the full power of their data to drive deeper insights, faster growth and more efficiency in the era of AI. New capabilities in the 麻豆原创 Datasphere solution, including new generative-AI features, transform enterprise planning through simplified data landscapes and more-intuitive data interaction.

鈥淐apturing data to make better decisions is an enterprise technology imperative that鈥檚 become increasingly critical as AI 鈥 which relies on quality data 鈥 revolutionizes every aspect of business,鈥 said Juergen Mueller, 麻豆原创 Chief Technology Officer and member of the Executive Board. “Our newest 麻豆原创 Datasphere innovations, as well as an expanded partnership with Collibra, represents a quantum leap in our ability to help customers drive intelligent business transformations through data.鈥

At the heart of these announcements is the business data fabric, an architecture that helps ensure data is not just an asset but also the core underpinning of strategic initiatives. The innovations and partnership announced today equip organizations to deliver meaningful data to data consumers 鈥 with business context and logic intact.

“We have decided to leverage 麻豆原创 Datasphere for a modern business data fabric architecture in conjunction with our 麻豆原创 S/4HANA landscape. It allows us to effectively establish a modern data analytics platform that enables a business self service capability on the basis of trusted data and data models,鈥 said Achim Welter, Senior Director ERP, Digital & IT Strategy, Hershey鈥檚.

Today鈥檚 麻豆原创 Datasphere innovations help customers achieve a unified data view that simplifies their data landscapes while retaining context and logic 鈥 enabling them to adapt faster to market changes and make more-efficient decisions. From new copilot and vector database capabilities that help ensure business context remains constant in generative AI outputs to a new knowledge graph that helps uncover insights and patterns in complex data, 麻豆原创鈥檚 data innovations help ensure customers have the full power of their data at their fingertips.

Today鈥檚 key innovations include:

Generative-AI Copilot and AI Governance

麻豆原创鈥檚 generative-AI assistant, the copilot, is now coming to the 麻豆原创 Analytics Cloud solution to automate the creation and development of reports, dashboards, plans and more. This automation is enabled by the 麻豆原创 HANA Cloud vector engine capabilities, which combine the power of large language models with the relevant data of your organization 鈥 helping ensure business context is a constant for generative-AI outputs.

Incorporating generative AI across the business isn鈥檛 possible without trusted and governed data. To provide organizations with a solution to govern the policies, processes and practices of AI, 麻豆原创 is announcing an expansion of our partnership with Collibra to integrate Collibra鈥檚 AI Governance with 麻豆原创 data assets. This can help provide transparency and accountability for organizations and help ensure regulatory, compliance and privacy policies are met.

Discover Hidden Insights and Patterns with Knowledge Graph

With the new 麻豆原创 Datasphere knowledge graph, organizations can discover hidden insights and patterns across their applications and systems. This enables both technical and business users to deeply understand the relationships between data, metadata and business processes, as well as boost the effectiveness of machine learning and large language models.

Unified and Advanced Planning and Analytics

The new 麻豆原创 Datasphere integration with 麻豆原创 Analytics Cloud offers a single data management system and advanced analytics to power cross-organizational planning. Planners can leverage a single flexible model to break down silos between planning using one tool for data preparation, modeling and planning.

Additionally, business users can use the new compass capability in 麻豆原创 Analytics Cloud to realize better outcomes in planning and analytics through data-driven simulation. It enables organizations to run complex simulations using a chat interface to evaluate predictive outcomes and continually adjust controllable variables to find the optimal plan.

This supports customers to transform their planning by unifying financial, operational, supply chain and workforce planning with native connection to 麻豆原创 applications and third-party data.

To learn more, please visit: /?p=221995

Visit the 麻豆原创 News Center. Follow 麻豆原创 at .

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥 businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥 without disruption. Our end-to-end suite of applications and services enables business and public customers across 26 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2022 Annual Report on Form 20-F.

漏 2024 麻豆原创 SE. All rights reserved.
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麻豆原创 Introduces 麻豆原创 Datasphere to Simplify Customers鈥 Data Landscape 鈥 Partners with Collibra, Confluent, Databricks and DataRobot /africa/2023/03/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape-partners-with-collibra-confluent-databricks-and-datarobot/ Mon, 13 Mar 2023 11:06:33 +0000 /africa/?p=144337 WALLDORF 鈥 麻豆原创 SE (NYSE: 麻豆原创) today announced key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights...

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WALLDORF (NYSE: 麻豆原创) today announced key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights and better business decision-making.

麻豆原创 announced the 麻豆原创 Datasphere solution, the next generation of its data management portfolio, which gives customers easy access to business-ready data across the data landscape. 麻豆原创 also introduced strategic partnerships with industry-leading data and AI companies 鈥 Collibra NV, Confluent Inc., Databricks Inc. and DataRobot Inc. 鈥 to enrich 麻豆原创 Datasphere and allow organizations to create a unified data architecture that securely combines 麻豆原创 software data and non-麻豆原创 data.

Until today, accessing and using data located in disparate systems and locations 鈥 across cloud providers, data vendors and on-premise systems 鈥 has been a complex challenge. Customers have had to extract data from original sources and export it to a central location, losing critical business context along the way and recapturing it only through ongoing, dedicated IT projects and manual effort. With today鈥檚 announcements, 麻豆原创 Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact.

鈥淲ith 麻豆原创 customers generating 87% of total global commerce, 麻豆原创 data is among a company鈥檚 most valuable business assets and is contained in the most important functions of an organization, from manufacturing to supply chains, finance, human resources and more,鈥 said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. 鈥淲e want to help our customers take the next step to easily and confidently integrate 麻豆原创 data with non-麻豆原创 data from third-party applications and platforms, unlocking entirely new insights and knowledge to bring digital transformation to another level.鈥

麻豆原创 Datasphere

Available today, 麻豆原创 Datasphere is the next generation of the 麻豆原创 Data Warehouse Cloud solution. It enables data professionals to deliver scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation and data virtualization, 麻豆原创 Datasphere enables data professionals to help distribute mission-critical business data 鈥 with business context and logic preserved 鈥 across their organization鈥檚 data landscape. 麻豆原创 Datasphere is built on 麻豆原创 Business Technology Platform (麻豆原创 BTP), which includes strong enterprise security capabilities, such as database security, encryption and governance. No additional steps or migrations are required for existing customers of 麻豆原创 Data Warehouse Cloud, who will benefit from new 麻豆原创 Datasphere functionality in their product environment. New functionality includes data cataloging that automatically discovers, manages and governs data; simplified data replication to deliver data and its constant updates in real-time; and enhanced data modeling that preserves the rich business context of data in 麻豆原创 applications. Additional application integration capabilities that link data and metadata from cloud solutions from 麻豆原创 to 麻豆原创 Datasphere are planned.

Messer Americas, a leading industrial and medical gas company in North and South America, needed simple and secure access to data from 麻豆原创 and non-麻豆原创 solutions within the company to strengthen data-driven decision-making and free up IT resources to focus on other strategic tasks. With 麻豆原创 Datasphere, Messer Americas was able to build a modern data architecture that maintained the context of its enterprise data.

鈥溌槎乖 Datasphere simplifies our data landscape, giving us more confidence in the data we鈥檙e working with every day so we can better deliver on the needs of the business,鈥 said David Johnston, Chief Information Officer, Messer Americas. 鈥淲e are able to react faster to emergent changes in supply and demand, resulting in better inventory management, improved customer service and optimization of our supply chain.鈥

Strategic Partnerships

麻豆原创 and its new open-data partners will help hundreds of millions of users across the world make informed business-critical decisions rooted in massive amounts of data. 麻豆原创鈥檚 strategic partners provide the unique strengths of their ecosystems and enable customers to combine all their data like never before.

鈥淓verybody wants access to 麻豆原创 data, so leveraging partnerships among tech suppliers is absolutely necessary for a comprehensive data strategy,鈥 said Dan Vesset, group vice president of data and analytics market research, IDC. 鈥淥rganizations today live in a world where a multi-cloud, multivendor and off- and on-premise data landscape is the norm. 麻豆原创 is taking a new approach by partnering with a select group of leading partners, treating third-party data as a first-class citizen to better meet the needs of customers.鈥

Initial partners include:

  • Collibra plans to have a tailored integration with 麻豆原创, enabling customers to achieve an enterprise governance strategy by building a complete data catalog with lineage across their entire data landscape 鈥 both 麻豆原创 and non-麻豆原创 data. Collibra makes trusted data discoverable across any organization.
  • Confluent plans to connect its data streaming platform, empowering companies to unlock valuable business data and connect it with external applications in real time. Confluent’s cloud-native offering is the foundational platform for data in motion 鈥 permitting the uninhibited flow of real-time data from various sources across an organization.
  • Databricks customers can integrate their Data Lakehouse with 麻豆原创 software so data can be shared with semantics preserved, helping customers simplify their data landscape.
  • DataRobot enables customers to leverage multimodal automated machine learning capabilities on top of 麻豆原创 Datasphere and bring it directly into their business data fabric on whichever cloud platform it resides.

For more information, see “Unleashing the Power of Business Data with 麻豆原创 Datasphere.”

Visit the 麻豆原创 News Center. Follow 麻豆原创 on Twitter at .

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥 businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥 without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels. To view video stories on diverse topics, visit . From this site, you can embed videos into your own Web pages, share video via email links, and subscribe to RSS feeds from 麻豆原创 TV.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
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Marcus Winkler, +49 6227-767497, marcus.winkler@sap.com CET
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2022 Annual Report on Form 20-F.
漏 2023 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.

This article first appeared on the 麻豆原创 News Center.

The post 麻豆原创 Introduces 麻豆原创 Datasphere to Simplify Customers鈥 Data Landscape 鈥 Partners with Collibra, Confluent, Databricks and DataRobot appeared first on 麻豆原创 Africa News Center.

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