Practical Data Science with SAP : Machine Learning Techniques for Enterprise Data
Language: English
Published by O'reilly Media Okt 2019, 2019
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 61.77
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Add to basketItem description from seller
Seller Inventory # 9781492046448
- Title
- Practical Data Science with SAP : Machine Learning Techniques for Enterprise Data
- Author
- Greg Foss
- Publisher
- O'reilly Media Okt 2019
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1492046442
- ISBN 13
- 9781492046448
- Item weight
- 572 grams
- Dimensions
- 233x177x22 mm
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
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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