Use your data to look into the future

Cover of Predictive Analysis with SAP Cover of Predictive Analysis with SAP

Predictive Analysis with SAP

The Comprehensive Guide

written by
$59.99

Available

$69.95

Available

$79.99

Available

525 pages, , Print edition hardcover
ISBN 978-1-59229-915-7
525 pages,
E-book formats: EPUB, MOBI, PDF, online
ISBN 978-1-59229-916-4
525 pages, , Print edition hardcover
E-book formats: EPUB, MOBI, PDF, online
ISBN 978-1-59229-917-1
Unlock the potential of all your data with this comprehensive guide to SAP's predictive analysis toolset, with details on the SAP Predictive Analytics, the PAL library, R integration, and SAP 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 Analytics
  • Derive business insight with a simplified predictive analysis workflow
  • Explore how to successfully apply predictive analysis through case studies
About the Book About the E-book 525 pages, hardcover, 1.5 in. Reference book format 6.9 x 9 in. Printed black and white on 60 # offset paper from sustainable sources. Smyth-sewn casebound for durability. reader-friendly serif font (Linotype Syntax 9.5 pt.). One-column layout. E-book in full color. PDF (6 MB), EPUB (8 MB), and MOBI file (86 MB) for download, DRM-free with personalized digital watermark. Copy and paste, bookmarks, and print-out permitted. Table of contents, in-text references, and index fully linked. Including online book edition in dedicated reader application.

In this book, you'll learn about:

  1. Algorithm Selection

    Choose the right algorithm for your needs and understand the strengths and weakness of each algorithm and method of predictive analysis.

  2. Predictive Analysis Applied

    Simplify the complex predictive analysis process with practical explanations, case studies, and industry-specific examples.

  3. Jump-start Your Analysis

    Full code listings, datasets, and parameter settings are provided to help you get started quickly.

Highlights include:

  • Predictive Analysis Library
  • Data analysis, types, and preparation
  • Data and text mining
  • Algorithm selection
  • Cluster analysis
  • Classification analysis
»Understand what your data has been trying to tell you!«

John MacGregor has over 30 years of practical business and teaching experience in the world of predictive analysis.

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