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Practical Data Science With Sap: Machine Learning Techniques for Enterprise Data
Paul Modderman
(Author)
·
Greg Foss
(Author)
·
O'Reilly Media
· Paperback
Practical Data Science With Sap: Machine Learning Techniques for Enterprise Data - Foss, Greg ; Modderman, Paul
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Synopsis "Practical Data Science With Sap: Machine Learning Techniques for Enterprise Data"
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 customersModel purchase requisition data using exploratory data analysisCreate an anomaly detection system for SAP sales ordersUse R and Python to make predictions on sales dataCluster and segment your customers based on their buying habitsUse association rule learning to discover customer buying patternsApply NLP to uncover the most highly actionable customer complaints
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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