Empower Decision Makers with SAP Analytics Cloud
- Paperback: 368 pages
- Publisher: WOW! eBook (September 29, 2020)
- Language: English
- ISBN-10: 1484260961
- ISBN-13: 978-1484260968
Empower Decision Makers with SAP Analytics Cloud: Modernize BI with SAP’s Single Platform for Analytics
Discover the capabilities and features of SAP Analytics Cloud to draw actionable insights from a variety of data, as well as the functionality that enables you to meet typical business challenges. With this book, you will work with SAC and enable key decision makers within your enterprise to deliver crucial business decisions driven by data and key performance indicators. Along the way you’ll see how SAP has built a strong repertoire of analytics products and how SAC helps you analyze data to derive better business solutions.
This book begins by covering the current trends in analytics and how SAP is re-shaping its solutions. Next, you will learn to analyze a typical business scenario and map expectations to the analytics solution including delivery via a single platform. Further, you will see how SAC as a solution meets each of the user expectations, starting with creation of a platform for sourcing data from multiple sources, enabling self-service for a spectrum of business roles, across time zones and devices. There’s a chapter on advanced capabilities of predictive analytics and custom analytical applications. Later there are chapters explaining the security aspects and their technical features before concluding with a chapter on SAP’s roadmap for SAC.
What You Will Learn
- Work with the features and capabilities of SAP Analytics Cloud
- Analyze the requirements of a modern decision-support system
- Use the features of SAC that make it a single platform for decision support in a modern enterprise
- See how SAC provides a secure and scalable platform hosted on the cloud
Empower Decision Makers with SAP Analytics Cloud takes a unique approach of facilitating learning SAP Analytics Cloud by resolving the typical business challenges of an enterprise. These business expectations are mapped to specific features and capabilities of SAC, while covering its technical architecture block by block.