First Steps In Sap Predictive Analytics
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First Steps in SAP Predictive Analytics
Author: Anurag Barua
language: en
Publisher: Espresso Tutorials Gmbh
Release Date: 2019-02-13
Curious about how to leverage SAP Predictive Analytics (SAP PA) to effectively mine data and unearth trends, patterns, and relationships? In this book written for users and analysts, readers will explore the foundations of SAP Predictive Analytics. Review the architectural underpinnings and technical components that make up SAP PA. Explore how SAP PA works with SAP HANA. Walk through the installation steps and learn the differences between the desktop and enterprise versions. Explore SAP PA modules and components, including the predictive analytical library (PAL), the application function library (AFL), and the SAP HANA automated predictive library (APL). Leverage the data manager and learn how to create an event log aggregation. Get tips for performing text analysis and take an in depth look at automated analytics, including Expert Analytics. Dive into a sales and pipeline forecasting example using specific SAP PA functions and algorithms. By using practical examples, tips, and screenshots, this book explores: - SAP Predictive Analytics architecture and technical components- How SAP PA works with SAP HANA- Core SAP PA modules and components- A detailed sales/pipeline forecasting example
A Practical Guide to SAP Data Warehouse Cloud
Author: Klaus-Peter Sauer
language: en
Publisher: Espresso Tutorials GmbH
Release Date: 2022-07-28
Learn about the advantages of SAP Data Warehouse Cloud (DWC): from data management all the way through to visualization, this book covers all the tools you need to set up a modern, cloud-based data warehouse landscape. You can even set up hybrid architectures or convert on-premise SAP BW systems to the SAP BW Bridge. Operating departments will learn how they can use virtual work areas (spaces) to enrich central corporate data with local data without having to copy data or download files. New findings can be easily shared with others. For IT employees in particular, there is an extensive introduction to modeling and the Data Builder. With the editors and functionalities of this tool, you get to know the technical implementation of data modeling in more detail. In addition, the Business Builder offers professional users a simplified analysis of data by reducing the time required for semantic modeling and enrichment of data. After discussing important aspects of the configuration and security of SAP Data Warehouse Cloud, the author looks at the developments that can be expected for this highly dynamic topic in the future. - Basic principles of SAP Data Warehouse Cloud - Virtual interaction between operating departments and IT via spaces - Separation of semantic modeling and the data layer - SAP BW Bridge and Hybrid landscapes
Unlocking SAP BW: Evolution from Legacy to Cloud
Author: Frank Riesner
language: en
Publisher: Espresso Tutorials GmbH
Release Date: 2025-03-12
Prepare for the future of your SAP data warehousing—from legacy to innovative cloud architectures. Written as a decision-making aid for existing SAP Business Warehouse (SAP BW) customers, this expert guide provides insights into how to continue with existing SAP platforms as the end of maintenance for SAP BW is approaching, and as SAP is planning to invest mainly in cloud software such as SAP Datasphere and SAP Analytics Cloud in the future. This book provides an overview of the solutions available, including SAP NetWeaver BW, SAP BW/4HANA, SAP Business Data Cloud, and SAP Datasphere, including BW bridge. Examine the various architecture options to renovate your landscape for the future. Learn how to prepare for an implementation, including housekeeping tasks and sizing concepts, as well asleveraging the Note Analyzer and transfer tools. Explore how SAP BW/4HANA and SAP Datasphere can be deployed in hybrid modes alongside each other, for step-by-step innovation, while maintaining current investments as much as possible and shaping the future cloud architecture for your SAP data warehousing environment. - SAP Business Data Cloud - Key architectural decision factors - Migration approaches to SAP BW/4HANA and SAP Datasphere - Hybrid architecture with SAP Datasphere including BW Bridge