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Table of Contents 3 Big Data, Big Challenges, and Big Opportunities 7 Examining SAP Predictive Analytics 7 The Desktop 10 Integration with SAP Business Warehouse 10 Client-Server Predictive Analytics 11 Using SAP Predictive Analytics and SAP HANA 12 SAP HANA as a Predictive Analytics Platform 13 Ease of Use 13 Speed and Efficiency 14 Simplicity and Automation 14 Operationalization 17 Real-Time Automated Predictive Analysis Use Cases 18 Additional Benefits of SAP Predictive Analytics with SAP HANA 19 “Algorithmic” Predictive Capabilities of SAP HANA: R and PAL 19 R Scripts 21 Predictive Analysis Library: PAL 25 ”Automated” Predictive Capabilities: Using APL 25 Automated Predictive Modeling Concepts 27 The Automated Predictive Library: APL 31 Comparing R, PAL, and APL Capabilities 31 Algorithmic Versus Automated Predictive: R and PAL Versus APL 32 PAL and APL Versus R 33 Why SAP Predictive Analytics with SAP HANA © 2016 SAP SE or an SAP affiliate <strong>company</strong>. All rights reserved. 2 / 33
Big Data, Big Challenges, and Big Opportunities Understanding what happened in the past can provide significant insights, but to truly benefit from your application and data infrastructure investments, you want to understand how to make better decisions to improve your future. Simply comprehending how to avoid an unexpected turn of events could save a lot of money, just as knowing what you could do to increase revenues can make a huge difference to your bottom line. Traditional business intelligence (BI) tools provide limited explanations of why something happened, because most BI solutions are geared more for reporting and dashboarding workflows that focus on the past. As a result, users are left to create their own insights from slicing, dicing, and drilling through the data themselves. The left side of Figure 1 depicts the evolution of analytics from a pure presentation of raw data to today’s concept of descriptive analytics that helps users understand what their data says about the past. The right side of the figure shows the natural evolution of BI toward predictive analytics. Predictive analytics uses the understanding of the factors influencing the past to determine what could happen next and even what could be done to positively influence future outcomes. Predictive analytics algorithmically analyzes historical data to find trends and patterns to understand relationships between elements. By understanding these relationships, you can make better decisions. For example, knowing a particular product generates more profit per unit versus other products may lead you to create a special promotion to increase sales. Creating such predictive insight is key in Big Data scenarios where a single data row by itself may not have special significance, but its contribution to an overall trend, pattern, or calculation could be meaningful. These relationships are difficult to uncover through traditional BI techniques because they may be too subtle or too complicated to be visualized on a chart. Mathematical analysis using statistical techniques has proved to be significantly more effective at understanding complex patterns in very large volumes of disaggregated data. © 2016 SAP SE or an SAP affiliate <strong>company</strong>. All rights reserved. 3 / 33
Page 1: SAP Predictive Analytics with SAP H
Page 5 and 6: The result of predictive analytics
Page 7 and 8: Examining SAP Predictive Analytics
Page 9 and 10: If you are already using SAP HANA,
Page 11 and 12: USING SAP PREDICTIVE ANALYTICS AND
Page 13 and 14: The following sections discuss many
Page 15 and 16: Predictive models executed in SAP H
Page 17 and 18: REAL-TIME AUTOMATED PREDICTIVE ANAL
Page 19 and 20: “Algorithmic” Predictive Capabi
Page 21 and 22: SAP HANA supports this type of side
Page 23 and 24: Figure 14 shows a nonexhaustive lis
Page 25 and 26: “Automated” Predictive Capabili
Page 27 and 28: Operationalizing Automated Predicti
Page 29 and 30: Beyond the basic script-based appro
Page 31 and 32: Comparing R, PAL, and APL Capabilit
Page 33 and 34: Why SAP Predictive Analytics with S

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