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  1. An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools

    In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as…...…
  2. Anomaly Detection Algorithms in Supply Chain Analytics

    Anomaly detection algorithms do exactly what the name suggests – detect anomalies in the data. The simplest example is your body temperature. If you had a sensor measuring your body temperature, and the date is being fed to an anomaly detector in the form of time series data (like every one hour), if the temperature…
  3. An Introduction to SAP Predictive Analysis and How It Integrates with SAP HANA

    In this exclusive report, take a walk into the world of SAP Predictive Analysis and how it ties into SAP HANA and SAP Lumira (formerly known as SAP Visual Intelligence). Learn the importance of general predictive modeling concepts, and then apply those concepts as part of a bigger discussion about the architecture and features of…...…
  4. Why a Solution That Can Integrate Algorithms Smartly Will Be a Game Changer

    by Kumar Singh, Research Director, Automation & Analytics, Supply Chain Management, SAPinsider   Thinking beyond the obvious We envision that at some point,  AI algorithms will replace existing supply chain planning systems. However, we rarely think about or discuss the architecture of the kind of solution that can make it happen. We will not get…
  5. Leveraging Machine Learning for Demand Forecasting

    Until recently, conventional time series forecasting methods have been predominantly used for forecasting in demand planning. A majority of demand forecasting tools in the market leverage these methods in their solutions. With advances in technology and computing power, the sophistication of these time series algorithms has increased thereby increasing forecast accuracy. However, with the advent…
  6. Leverage SAP Integrated Business Planning for Forecasting

    Robust is a difficult term to define. It’s something that is useful for the organization, something that makes sense. A robust demand forecasting process must be able to handle variances in demand and enable control your supply chain — with the intent of avoiding situations where you have 1,000 days of inventory or are missing…
  7. Data Scientist Ants and the Power of Heuristics in Building Smart Supply Chains

    By Kumar Singh, Research Director, Automation & Analytics, SAPinsider   Delivery Drones and Ants- What is the connection ? You probably read the news last year regarding FAA approval of drone deliveries. Now that an easy action item box has been checked ,the next step will be to test the real execution. Drone deliveries, from…...…
  8. How to Achieve Optimal Inventory Levels with SAP Integrated Business Planning for Inventory

    Learn how to achieve optimal inventory levels for raw materials, work in process, and finished products across the supply chain with SAP Integrated Business Planning. Key Concept The unified planning area, SAP Integrated Business Planning’s standard planning area, provides end-to-end business processes related to all the technical details of a planning area in SAP Integrated…...…
  9. The SAP BW HANA Analysis Process: Improve Data-Mining with the New Features of SAP BW 7.4

    Learn the technical underpinnings and practical steps needed to use the new SAP BW 7.4 HANA Analysis Process. This new tool improves on and complements the existing Analysis Process Designer (APD) as a way to execute data-mining algorithms and stored procedures using the power of SAP HANA via an SAP BW interface. Key Concept The…...…
  10. Enable Multiple Search Criteria for Clearing in Electronic Banking

    Learn how to use multiple search criteria when clearing items with electronic bank statements. Discover some electronic banking limitations and challenges in dealing with bank data that require alternative methods to increase automatic match rates. To increase automatic match rates, you can use enhancement FEB00001 to modify table FEBCL and a screen enhancement in program…...…