PREDICTIVE ANALYSIS W/SAP

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Today's businesses are driven by data. Unlock the potential of your structured and unstructured data, anticipate market changes, and drive decision making with this comprehensive guide to SAP Predictive Analysis tools-SAP Predictive Analysis module, the PAL Library, R Integration, and SAP HANA. Filled with simple examples, customer case studies, and explanations of the business benefits, this book helps you navigate the complex predictive analysis process. From cluster analysis to text analysis, transform your raw data into improved business process. 1. Predictive Analysis Overview Learn what predictive analysis is, the practical business value that it provides, and the tools in SAP that support it. 2. Algorithm Selection Choose the right algorithm for your needs and understand the strengths and weaknesses of each algorithm and method of predictive analysis. 3. Predictive Analysis Applied Simplify the complex predictive analysis process and learn how to apply predictive analysis with practical examples, case studies, and business explanations. 4. Data Visualized Learn how to investigate large amounts of data via useful and comprehensive visualizations, and share the analysis with ease! 5. Jump-start Your Analysis Full code listings are provided to help facilitate your using the SAP HANA Predictive Analysis Library (PAL), including data sets and parameter settings required for the analysis. Highlights include: Predictive Analysis Library (PAL) in SAP HANA The R Integration for SAP HANA SAP Predictive Analysis (PA) Data and text mining Outlier analysis Association analysis Cluster analysis Classification analysis Regression analysis Decision tree analysis Time-series analysis Text analysis and text mining Galileo Press heißt jetzt Rheinwerk Verlag.