Unlike traditional software development with complex training and code writing requirements, low and no code tools mean that people can create software with minimal or no code writing required. With smart user interfaces, people can develop software processes without having any programming knowledge, typically using drag and drop style methods.

Moving beyond simple websites and apps, these tools have also become available for enterprise software, enabling rapid development of solutions such as document handling automations. Following the lead of IT functions, which rapidly adopted these tools, teams company-wide are now using them to quickly respond to business needs in a low cost manner.

For example, organisations worldwide are already using 麻豆原创鈥檚 low and no code tools including available via 麻豆原创 . Feedback from citizen developers has been overwhelmingly positive about how these tools are helping their companies become intelligent enterprises. For example, business process owners at any APJ-based utility company can create and introduce dynamic forms for inspection processes on an as-needed basis. Producing the forms themselves has eliminated redevelopment work from IT, reducing deployment time from months to days.

Low and no code drives rapid innovation

Whether disruptive or evolutionary, successful software innovation demands speed, meaning the ability to prototype and gain real world and user feedback quickly. Rather than relying on the availability (and associated cost) of dedicated software developers, teams using low and no code platforms can rapidly develop and iterate their ideas, gathering feedback and prototyping new concepts to run faster innovation cycles.

Traditional software development projects often require a substantial time investment to discover the practical implications of different processes or market needs. Software architects and developers spend hours, days, and weeks or more in workshops and other discussions to fully explore and understand potential use cases and solve specific business problems. With low and no code tools, subject matter experts, be they process owners or market strategists, can embed their knowledge across the software development process 鈥� from ideation through prototype iteration, solution delivery, and beyond.

Improving the employee experience

Employees are often asked to provide their insights on a given topic as part of a software solutioning exercise, but their involvement ends there 鈥� until the final system is implemented and scaled. By using low and no code technologies, employees can experience the satisfaction of developing a solution from idea to implementation, providing input and guidance to the design and implementation, which in turn provides a sense of accomplishment and boosts productivity.

Low and no code tools are proving even more valuable productivity-wise as more employees work remotely during the pandemic. Rather than waiting for IT resources to become available, citizen developers 鈥� wherever they鈥檙e located 鈥� can solve business process and customer problems as they arise, quickly accessing low and no code tools through cloud computing platforms.

More strategically, as companies continue their digital transformation journeys, more people have access to the tools necessary to transforms all aspects of a business through software. Rather than relying on only large, top-down transformation programs, they can take a grassroots approach, with employees developing and implementing solutions as required based on the processes, customers and legacy technology that they know best. Organisations can address governance and security by embedding policies into the low and no code platform, guiding employees as they design new software.

Low and no code tools support digital government services

The opportunity provided by low and no code to pivot from technology interaction to technology innovation also applies to the public sector. Citizen developers can create new solutions in their respective area of expertise or interest, while also meeting quality and security standards. The public sector can develop more useful apps faster. When people with the greatest amount of experience and understanding of processes design and develop software, the organization ends up with systems that address the most important challenges.

Coupled with initiatives such as open data sharing, citizens can quickly bring about the change they鈥檇 like to see in government digital services, combining previously hidden information sources and community needs to develop scalable solutions. For example, citizen developers can plug no code tools into 麻豆原创鈥檚 to model different trends and correlations across private and public data sources.

In democratising software development beyond dedicated, specialised resources, low and no code tools are modernising not only how organisations operate daily, but also how industries will innovate for a stronger, more resilient future.

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This event was a way to build on an existing partnership, product innovation and to tackle shared challenges at a time when many were feeling isolated, uncertain, and our mutual customers and end users were ever-more dependent on technology.

The winner of the first hackathon in 2020 was Team Gone Viral from , which comprised of Analytics Practice Lead, Martin Green, and Principal Consultants, Thomas Yuan, and Galvin Gunawan. The team developed BusIntelligence 鈥� an app providing real-time insights and solutions for bus passengers and operators alike.

鈥淲e wanted to focus on something relevant to the COVID pandemic we were in,鈥� Martin explained. 鈥淟ooking at a technology solution that would benefit communities on different levels, particularly within the transport industry. We recognised that COVID had shifted not only usage patterns through remote working, but capacity changes due to social distancing.

鈥淭he way we saw the application supporting that was during COVID and as life normalises, this will give bus operators the means to respond quickly, aligning the bus network and routes, optimising for commuters as a key driver. The app essentially supports the analysis of real time and historical data around bus routes 鈥� such as common causes of delays or average travel speed of an area 鈥� a lot of information to support the optimisation of routes and timetables.鈥�

According to Thomas, the key was to address traditional issues in the hopes of setting reference architecture for future developments. 鈥淚t鈥檚 the app 鈥� but it doesn鈥檛 stop as a single app. In the future, people can also continue with their own innovations to extend this application into endless possibilities.鈥�

Thomas noted that one common challenge within this area is disparate datasets, noting that the process for converting large multi-source systems and multi-form datasets is very complicated. This issue is compounded by public-facing data and internal systems 鈥� such as HR, rostering, and financial data 鈥� struggling to match or integrate seamlessly.

鈥淲e wanted to showcase how to balance long-term trend analysis and a dashboard, Thomas said. 鈥淲e also wanted to address something we call, non-intrusive real-time analyses. Going to the industry and talking to our clients about real-time analysis, the first question we get from operational-system architects is, 鈥榳ill it impact my system performance?鈥� Our response to that, in this case, is we source our data from a public API, which means the data ingest site is safe, optimised, and won鈥檛 affect operational performance.鈥�

Thomas expressed the value in having access to two open-data sets from Transport NSW and TransLink Queensland. Since both follow the universal standard of GTFS, this helped ensure consistency and accuracy while setting a template for architecting potential extensions into other public and private sector applications.

鈥淲e architected our solution to five high-level layers,鈥� explained Galvin. 鈥淔irst, the source layer, then the ingestion, storage, data processing in the data warehouse layer, and finally the presentation layer. In the ingestion layer, we utilised Azure Functions, which is a python friendly tool for retrieving GFTS files from Transport NSW. And then we used that to ingest it into Azure Data Lake gen 2 surface.

鈥淒ata is then picked up Azure Stream Analytics for the real time dashboard, and we use Azure Data Factory to aggregate many of the file storage in Azure Data Lake. We then utilise 麻豆原创 Data Warehouse within the data processing layer, as the high-performance platform to harmonise, further transform, and aggregate the data into a meaningful format for analytic purposes.鈥�

In supporting the various development teams preparing , 麻豆原创 and Microsoft experts provided training sessions to address questions and offer guidance. 鈥淭hose mentor-training half-hour sessions have become collectibles for me. Whenever I need information about certain products, I just watch back those videos. The mentors were very knowledgeable and all our understood questions, coming up with clear and creative solutions 鈥� often able to predict our next move.鈥�

Everyone at Team Gone Viral were excited about future applications for BusIntelligence and hope to continue showcasing its possibilities to wider audiences, such as local councils, town planners, and other public transport operators. They noted how this hackathon has demonstrated the value of combining different datasets, solutions, and development skills to create flexible and scalable solution that address common challenges we all face.

Furthermore, the ability to connect and collaborate with different experts from 麻豆原创 and Microsoft isn鈥檛 just breaking down traditional silos but furthering the possibility to innovate and provide more hybrid solutions to market. To learn more about the next 麻豆原创 and Microsoft hackathon in May 2021,

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In this聽聽interview at the聽聽event, Raphael Maultzsch, principal IT architect at 麻豆原创, took me through four primary steps designed to give IT and business teams a window into the future for practical planning.

鈥淭he two biggest questions customers have about moving to 麻豆原创 S/4HANA are 鈥楬ow can we find out which business processes we have to change and what happens to our custom code?鈥欌�� said Maultzsch. 鈥淲e鈥檝e designed the four-step journey to 麻豆原创 S/4HANA to answer those questions, helping customers map the best route to achieve their individual business demands.鈥�

Step 1: Know What to Expect

According to Maultzsch, companies can start with the聽聽tool, essentially a preparation step for what is to come.

鈥淲hether you have already decided to move ahead with 麻豆原创 S/4HANA or have just begun exploring your path to the intelligent enterprise, 麻豆原创 Readiness Check helps you see what lies ahead after project kick-off and factor that information into your decision-making,鈥� explained Maultzsch. 鈥淭he idea is to help people understand what they need to prepare beforehand so they can better budget time and resources for the project.鈥�

For example, during our interview, we watched as the full-colour, interactive dashboard identified which business processes, functions, user interfaces, and data management practices a company would need to evolve to take full advantage of 麻豆原创 S/4HANA innovations. The in-depth analysis covered business functions, transactions, and even compatibility with add-ons across enterprise resource planning (ERP) applications, such as finance or supply chain, as well as industry-specific processes. It identified which custom code companies would need to adapt. The tool鈥檚 comprehensive report also provided people with an in-depth understanding of software prerequisites and infrastructure requirements.

Step 2: Debunk Custom Code Fears with Reality

Once the project begins, the second step was running the ABAP test cockpit to find out which reports depend on custom code that would be affected in moving to 麻豆原创 S/4HANA.

Surprisingly, while many people equate custom code with greater project effort, just the opposite is often true.

鈥淧eople tend to make custom code their first priority because they have the most fears about what happens to it when they move to 麻豆原创 S/4HANA,鈥� said Maultzsch. 鈥淗owever, we鈥檝e found that companies aren鈥檛 using approximately 50 percent or more of their legacy custom code. What鈥檚 more, adapting custom coding takes far less effort than most companies expect.鈥�

Step 3: Maintain Data Consistency

Quality data is paramount to any system transformation. In fact,聽聽researchers predicted that 鈥�2020 will be a wake-up year for many organizations, as the total cost of getting data wrong will become apparent.鈥� Maultzsch agreed that bringing together accurate, consistent, and relevant data from anywhere in a company is critical to bringing advanced technologies like artificial intelligence (聽into business. He then showed me the third step in moving to 麻豆原创 S/4HANA, which involved scanning the system to 鈥渕ake sure data is consistent for proper conversion.鈥�

Step 4: Keep Downtime to a Minimum

Companies have several options to minimise downtime during the switch over to 麻豆原创 S/4HANA, notably the Software Update Manager tool. Maultzsch suggested the near-Zero Downtime technology for companies with tight downtime requirements. It is designed to manage large data transfers in relatively short time frames, typically accomplished over the weekend, even for huge database sizes.

Of course, there are more than these four overview steps involved in moving to 麻豆原创 S/4HANA. Maultzsch encouraged both business leaders and IT professionals 鈥� including consultants and architects 鈥� to think of these four steps as a foundational project guide.

鈥淢aybe your CIO has said we鈥檙e moving to 麻豆原创 S/4HANA, or you鈥檝e heard about the importance of 麻豆原创 S/4HANA in becoming an intelligent enterprise in the experience economy, but you don鈥檛 know where to begin,鈥� he said. 鈥淭hese are the four steps to help structure your project and start planning for your next business innovation.鈥�

This article first appeared on the Global 麻豆原创 News Centre.

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