Practical Data Science with SAP

Machine Learning Techniques for Enterprise Data

Greg Foss, Paul Modderman

$133

Paperback

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English

O'Reilly Media
27 September 2019

Management & management techniques; Business mathematics & systems; Communications engineering & telecommunications; Enterprise software; Programming & scripting languages: general

Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data. Throughout the book, you'll follow a fictional company as it tackles real scenarios.

Using actual data to create example code and visualizations, SAP business analysts will learn practical methods for gaining deeper insights into their business's data. Data engineers and data scientists will explore ways to add SAP data to their analysis processes. Through grounded explanations of both SAP processes and data science tools, you'll discover powerful methods for discovering data truths.

Use data to tell revealing stories about your customers Model purchase requisition data using exploratory data analysis Create an anomaly detection system for SAP sales orders Use R and Python to make predictions on sales data Cluster and segment your customers based on their buying habits Use association rule learning to discover customer buying patterns Apply NLP to uncover the most highly actionable customer complaints

By: Greg Foss, Paul Modderman
Imprint: O'Reilly Media
Country of Publication: United States
Dimensions: Height: 233mm, Width: 178mm,
ISBN: 9781492046448
ISBN 10: 1492046442
Pages: 344
Publication Date: 27 September 2019
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Greg Foss fuses battle-tested deep SAP knowledge with a passion for all things data science. His SAP career spans all areas of the technology stack - server, database, security, back and front end development, and functional expertise. As an enterprise architect, he's been the steady guiding hand for years of managing, supporting, and enhancing SAP. As the founder of Blue Diesel Data Science, he focuses years of R, Python, machine learning algorithms, and analytics expertise on finding unique stories to tell from enterprise SAP data. Through Blue Diesel, Greg regularly contributes unique knowledge and insight into the data science blogging community, and is the principal developer and architect of VisionaryRX, an innovative pharmaceutical data dashboarding product. Paul Modderman loves creating things and sharing them. His tech career has spanned web applications with technologies like .NET, Java, Python, and React to SAP solutions in ABAP, OData and SAPUI5, to cloud technologies in Google Cloud Platform, Amazon Web Services, and Microsoft Azure. He was principal technical architect on Mindset's certified solutions CloudSimple and Analytics for BW. He's an SAP Developer Hero, honored in 2017. Paul is the author of two books: Mindset Perspectives: SAP Development Tips, Tricks, and Projects, and the SAP Press published SAPUI5 and SAP Fiori: The Psychology of UX Design.