Unifying Data Sources for Accurate Near-Term Demand Forecasting with Google Cloud

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  1. Java Memory Analysis — How Efficient Is Your Garbage Collector?

    ManagerLearn how to perform effective Java memory analysis on your system using a Solution Manager Diagnostics component that many users don’t take advantage of. Find out how you can tell if your Java applications are performing at their best, and discover a variety of ways to analyze system performance. Key Concept Solution Manager Diagnostics is...…

  2. Techniques for Minimizing the Performance Impact of Java Garbage Collection Across Your System Landscape

    When you set out to optimize the performance of a multi-user application, a natural focus is removing or minimizing application contentions. For Java applications, there is one common source of contention: garbage collection (GC). This article explains in detail how GC affects application execution, and presents a formula you can use to predict the extent...…

  3. End-to-End Supply Chain

    Unifying Data Sources for Accurate Near-Term Demand Forecasting with Google Cloud

    Reading time: 1 mins

    In the domain of demand planning within SAP systems, there is a growing recognition of the need to incorporate external data sources alongside traditional internal ones. This approach is encouraged by Google Cloud’s “Better Together” partnership with SAP, which promotes integrating external datasets, such as real-time weather updates and marketing trends, with SAP’s internal data.…

  4. Preparing Maintenance Operations for Migrating SAP ECC to S/4HANA

    With a 2027 deadline looming, companies are making plans to migrate SAP ECC to S/4HANA – the biggest update to SAP’s ERP platform in over two decades. SAP S/4HANA removes the separation between operational and analytical systems and allows business users to access operational data in real-time.

  5. Tips & advice on improving cash flow forecasting & liquidity planning: Q&A with SAP treasury expert Moussa Soukal (transcript)

    Accurate cash flow forecasts – even two or three months out – are elusive for many companies. Challenges range from data inaccuracies, to technical issues and integration problems, to poorly devised processes. What are best practices to sidestep these issues, and how can SAP treasury functionality help you more accurately pinpoint your company’s future cash…

  6. Addressing Data Management Challenges for Data Intense Processes in SAP Ecosystem

    By Kumar Singh, Research Director, Automation & Analytics, SAPinsider Integrated challenge of process and data management A key challenge that organizations operating in complex technology ecosystems like SAP face is managing their business processes seamlessly and efficiently. From  a systems perspective, business processes within an ERP system span across several modules and hundreds of tables....…

  7. Leveraging Data Connection Gateways to Harness Full Value from Analytics Investments

    By Kumar Singh, Research Director, Automation & Analytics, SAPinsider   The critical role of analytics in digital transformation Organizations today are rapidly evolving into mathematical corporations, driven by analytics and technology. Fueled by an explosion in data, they are making strategic as well as day-to-day decisions based on insights generated by this data. Hence, it…

  8. Growing Need for Financial Master Data Management Automation  

    Finance and accounting (F&A) teams must efficiently access accurate and reliable information in today’s fast-paced environment. This way, F&A teams can generate the organizational visibility to make timely decisions on various fronts, from revenue growth or cost-cutting initiatives to strategic planning for new business models or corporate transactions. Finance master data is the foundation for...…

  9. Demand Sensing Improves Short-Term Demand Forecasting at Arla Foods

    Most organizations today are somewhere along the journey toward becoming a digital business, with meeting high expectations for the customer experience a central driver. One of the keys to creating an exceptional experience is the ability to access data in back-end systems in real time, which means that robust integration is critical. This article introduces…

  10. Five Stages of Achieving Supply Chain Analytics Maturity

    Supply chain analytics has rapidly evolved in the last few years, supported by progress in technology and computing power. This evolution can also be attributed to increasing supply chain complexities, and challenges companies are increasingly running into. SAPinsiders have consistently highlighted their increased focus on leveraging analytics and automation in the supply chain in our…