Cut the Clutter: Transform Financial Workflows with SAP BTP
485 results
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How to Measure Forecast Accuracy with SAP APO and SAP BW
Learn about the key considerations in designing processes for measuring forecast accuracy. See how forecast accuracy reports can be implemented using SAP APO Demand Planning (DP) and SAP Business Warehouse (BW). Key Concept Forecast accuracy is a measure of the difference between a prediction and what actually happens. It is a crucial metric in any...…
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Part 2: Data Modeling Strategies to Avoid Data Inaccuracy and Ensure Consistency
Overcome the challenge of retaining the original master data attribute validity from when transactions occurred. Key Concept Developers only tend to use time-dependent master data attributes when a source system provides them as time dependent. However, SAP NetWeaver BI can also record time-independent master data from a source system as time dependent. This can greatly...…
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Part 1: Data Modeling Strategies to Avoid Data Inaccuracy and Ensure Consistency
Minimize and eliminate data inconsistency and inaccuracy in SAP NetWeaver BI environments by adopting and adapting the data modeling techniques described here. The author explains the accuracy, benefits, and drawbacks of each. Key Concept Common data modeling approaches produce inconsistent and inaccurate data over time. This results from insufficient understanding of delta processes and different...…
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Demand Planning Alerts Increase the Accuracy of Your Forecasts
One of the biggest problems facing demand planners is spotting trends and errors in large volumes of data. You can use the alert functionality in SAP APO Demand Planning module to spot discrepancies, allowing your demand planners to “manage by exception.” We explain the different ways in which you can use alerts to help create...…
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Part 3: Data Modeling Strategies to Avoid Data Inaccuracy and Ensure Consistency
Overcome the challenge of re-determining the master data attribute values for a transaction when changes in master data attribute values are back-dated. Key Concept InfoSets allow you to maintain pinpoint accuracy even when both transactional and master data can be not only forward- but also back-dated. Temporal joins ensure that the system uses the latest...…
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Inventory Accuracy: The Struggle With the Fundamentals
SAPinsider will publish a benchmark report on Inventory Management and Optimization in November 2022. There could not have been a better time to conduct research focused only on inventory management and optimization. Why so? Well, the first aspect, which is not surprising to any of us, is the immense focus on supply chain and inventory management…
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Automate Your Complex Transactions with 100% Accuracy and No Manual Review
Even in 2021, despite the investment in technologies like eCommerce, Portals, and EDI, almost half of the B2B transactions still come as emailed documents. The transactions rely on expensive and inaccurate manual processes that were impossible to automate with complete information accuracy, resulting in high costs to serve, delayed order processing, and inability to scale…
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Improve Forecast Accuracy by Measuring Forecasting Errors
Learn how implementing Business Add-In (BAdI) /SAPAPO/SDP_FCST4 enables you to store the results of each forecast run in the system along with the forecasting errors. Analysis of these errors helps you to improve the forecast results and thereby improve the forecast accuracy. Key Concept SAP Advanced Planner and Optimizer (APO) Demand Planning has an SAP...…
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Improve Your Data-Entry Efficiency and Accuracy with Defaults
The integrity of your master data is vital to your business. Manual data entry is often the source of errors in master data. To minimize incorrect information in your system, you can use standard functionality to default commonly used master data values and processes. Key Concept The 4.6C system has more than 4,000 user parameters....…
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Ascend Performance Materials Achieves 99.9% Data Accuracy and Massive Time Savings with Supply Chain Automation
Manufacturing organizations today are under increasing pressure to move faster, reduce errors and risk, and be more efficient. For a company such as Ascend Performance Materials — which produces chemicals, fibers, and plastics for the automotive, electronics, textile, and consumer industries — reducing risk is paramount. The business impact of having bad data could be…
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