PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 78,20
Anzahl: 1 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 69,83
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 300 pages. 9.25x7.00x0.50 inches. In Stock.
Anbieter: moluna, Greven, Deutschland
EUR 54,06
Anzahl: Mehr als 20 verfügbar
In den WarenkorbKartoniert / Broschiert. Zustand: New. 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.Über.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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.