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A01=Greg Foss
A01=Paul Modderman
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Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

4.00 (1 ratings by Goodreads)

English

By (author): Greg Foss Paul Modderman

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, youll 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 businesss 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, youll 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 See more
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A01=Greg FossA01=Paul ModdermanAge Group_UncategorizedAuthor_Greg FossAuthor_Paul Moddermanautomatic-updateCategory1=Non-FictionCategory=KJTCategory=KJWCategory=UFLCategory=UMXCategory=UNCCategory=UNFCategory=UTXCategory=UYQCategory=UYQLCategory=UYTCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Dimensions: 178 x 233mm
  • Publication Date: 30 Sep 2019
  • Publisher: O'Reilly Media
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781492046448

About Greg FossPaul Modderman

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.

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