Predictive analysis with SAP : the comprehensive guide / John MacGregor

Contributor(s):

MacGregor, John

Material type: Text

TextPublication details: Bonn : Galileo, 2014Description: 525 s. : illISBN:

1592299156 (print : alk. paper)
9781592299157 (print : alk. paper)

Subject(s):

DDC classification:

006.312 MACG

Summary: From your customer\'s purchasing habits to your employee\'s key performance indicators, data can provide business insight and predict future market trends. With this comprehensive guide to SAP\'s Predictive Analysis toolset, anticipate market changes, drive decision making and unlock the potential of your data sources. Filled with practical examples, case studies, and business explanations, this book will simplify the complex predictive analysis process and teach you how to use SAP\'s Predictive Analysis toolset to understand what your data has been trying to tell you. Extensive coverage of the Predictive Analysis module, the PAL Library, R-Integration, and HANA will enable you to choose the best algorithm for your needs. Learn how to organize large amounts of data into comprehensive data models, visualizations, and reports with ease!.

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Standard Loan	Moylish Library Main Collection	006.312 MACG (Browse shelf(Opens below))	1	Available		39002100653253
Standard Loan	Moylish Library Main Collection	006.312 MACG (Browse shelf(Opens below))	2	Available		39002100653964

Enhanced descriptions from Syndetics:

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 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. Predictive Analysis Overview Learn what predictive analysis is, the practical business value that it provides, and the tools in SAP that support it. Algorithm Selection Choose the right algorithm for your needs and understand the strengths and weaknesses of each algorithm and method of predictive analysis.Predictive Analysis Applied Simplify the complex predictive analysis process and learn how to apply predictive analysis with practical examples, case studies, and business explanations. Data Visualized Learn how to investigate large amounts of data via useful and comprehensive visualizations, and share the analysis with ease! 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.

Includes bibliographical references and index.

From your customer\'s purchasing habits to your employee\'s key performance indicators, data can provide business insight and predict future market trends. With this comprehensive guide to SAP\'s Predictive Analysis toolset, anticipate market changes, drive decision making and unlock the potential of your data sources. Filled with practical examples, case studies, and business explanations, this book will simplify the complex predictive analysis process and teach you how to use SAP\'s Predictive Analysis toolset to understand what your data has been trying to tell you. Extensive coverage of the Predictive Analysis module, the PAL Library, R-Integration, and HANA will enable you to choose the best algorithm for your needs. Learn how to organize large amounts of data into comprehensive data models, visualizations, and reports with ease!.

Author notes provided by Syndetics

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.