Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data
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Book Description
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

Content

Chapter 1. Introduction
Chapter 2. Data Science for SAP Professionals
Chapter 3. SAP for Data Scientists
Chapter 4. Exploratory Data Analysis with R
Chapter 5. Anomaly Detection with R and Python
Chapter 6. Predictive Analytics in R and Python
Chapter 7. Clustering and Segmentation in R
Chapter 8. Association Rule Mining
Chapter 9. Natural Language Processing with the Google Cloud Natural Language API
Chapter 10. Conclusion

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