Practical data science with SAP : machine learning techniques for enterprise data / Greg Foss and Paul Modderman.

Format:

Book

Author/Creator:

Foss, Greg, author.

Modderman, Paul, author.

Language:

English

Subjects (All):

SAP ERP.

Machine learning.

Business enterprises--Data processing.

Business enterprises.

Physical Description:

1 online resource (333 pages)

Edition:

First edition.

Place of Publication:

Beijing : O'Reilly, [2019]

System Details:

text file

Summary:

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data. Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths. You'll explore: Examples of how data analysis can help you solve several SAP challenges Natural language processing for unlocking the secrets in text Data science techniques for data clustering and segmentation Methods for detecting anomalies in your SAP data Data visualization techniques for making your data come to life

Contents:

Introduction

Data science for SAP professionals

SAP for data scientists

Exploratory data analysis with R

Anomaly detection with R and Python

Predictive analytics in R and Python

Clustering and segmentation in R

Association rule mining.

Notes:

Includes index.

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781492046455

1492046450

9781492046431

1492046434

9781492046417

1492046418

OCLC:

1121200581