Predictive Analysis with SAP
The Comprehensive Guide
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Beschreibung
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.
Predictive analysis for the business user
Understand SAP’s predictive analysis tools—PAL, R Integration, and SAP Predictive Analysis—and their business application
Explore how to successfully apply predictive analysis through case studies and examples
Autor*in
John MacGregor
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. Jon 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
Themen in »Predictive Analysis with SAP«
Predictive Analysis Library (PAL) R-Integration for SAP HANA SAP Predictive Analysis Module Data analysis, types and preparation Data and text mining Algorithm selection Outlier Analysis Cluster Analysis Classification Analysis Customer applications