Synopsis
Today's businesses are driven by data. Unlock the potential of all your data with this comprehensive guide to SAP's predictive analysis toolset, with details on the Predictive Analysis module, the PAL library, R integration, and HANA. Benefit from practical examples, case studies, and explanations. Written for the business user, this guide will help you choose the best algorithm for your needs and organize your data into comprehensive data models.
* Understand PAL, R integration, and SAP Predictive Analysis
* Derive business insight with a simplified predictive analysis workflow
* Explore how to successfully apply predictive analysis through case studies
Algorithm Selection
Choose the right algorithm for your needs and understand the strengths and weakness of each algorithm and method of predictive analysis.
Predictive Analysis Applied
Simplify the complex predictive analysis process with practical explanations, case studies, and industry-specific examples.
Jump-start Your Analysis
Full code listings, datasets, and parameter settings are provided to help you get started quickly.
* Predictive Analysis Library
* Data analysis, types, and preparation
* Data and text mining
* Algorithm selection
* Cluster analysis
* Classification analysis
"synopsis" may belong to another edition of this title.
About the Author
John MacGregor has over 30 years of practical business and teaching experience in the world of predictive analysis. He has worked at Unilever, lectured at the University of London, and served as the Master's program chair. He developed the Statistical Analysis module for Pilot EIS product and Data Mining for Pilot Software, OLAP Server; was a founding member of the Data Mining team in Gentia Software, UK; and was a product and partner manager for KXEN and then for SPSS/IBM in BOBJ/SAP. He has run several software companies both in the UK and Australia and was the key driver in the creation of the SAP Predictive Analysis product. John is currently the vice president and head of the Centre of Predictive Analysis for SAP HANA. John regularly presents at SAPPHIRE, TechEd, ASUG and Predictive Analysis World, and writes a predictive analysis newsletter.
"About this title" may belong to another edition of this title.
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Hardcover. Condition: Fair. Wasserschaden / Verschmutzung; Leichte Risse; Farbveränderung durch Alter/Sonne. Today's businesses are driven by data. Unlock the potential of all your data with this comprehensive guide to SAP's predictive analysis toolset, with details on the Predictive Analysis module, the PAL library, R integration, and HANA. Benefit from practical examples, case studies, and explanations. Written for the business user, this guide will help you choose the best algorithm for your needs and organize your data into comprehensive data models.* Understand PAL, R integration, and SAP Predictive Analysis* Derive business insight with a simplified predictive analysis workflow* Explore how to successfully apply predictive analysis through case studiesAlgorithm SelectionChoose the right algorithm for your needs and understand the strengths and weakness of each algorithm and method of predictive analysis. Predictive Analysis AppliedSimplify the complex predictive analysis process with practical explanations, case studies, and industry-specific examples. Jump-start Your AnalysisFull code listings, datasets, and parameter settings are provided to help you get started quickly. * Predictive Analysis Library* Data analysis, types, and preparation* Data and text mining* Algorithm selection* Cluster analysis* Classification analysis. Seller Inventory # 1313ff65-e037-401a-bfb2-848b29baff06
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