Empower Decision Makers with SAP Analytics Cloud

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.

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.

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


WHO THIS BOOK IS FOR

Enterprise architects, SAP BI analytic solution architects, and developers.

VINAYAK is a seasoned analytics consultant with experience across multiple business domains and roles. As senior architect at Tata Consultancy Services Ltd., Vinayak has been engaged in technology consulting and architecting solutions across the SAP analytics portfolio for Fortune 500 firms. He has been instrumental in building, mentoring, and enabling teams delivering complex digital transformations for global clients. Passionate about technology, Vinayak regularly publishes articles and technical papers with well-known publications. He is also an active contributor to the SAP community and regularly publishes blogs on technologies in the SAP analytics portfolio.

SHREEKANT is a senior management professional with expertise on leading and managing business functions and technology consulting. He established and developed business units for Fortune 500 firms, namely the public service business for the world’s leading professional services company, launched the Shell Gas business in India for a JV of Shell. Shreekant grew the SAP technology business for Tata Consultancy Services Ltd. by winning strategic clients in new and existing geographies, creating innovative service offerings. He played a critical part in multiple transformation programs for Bharat Petroleum Corporation Ltd. He has mentored authors, published best seller books and white papers on technology, and has patents on technology and service delivery. He specializes in realizing concepts to their value-creation stage, innovation and transformation, and building organizations.

CHAPTER 1: CURRENT TRENDS IN ANALYTICS AND SAP’S ROAD MAP

Chapter Goal: To understand the latest trends in analytics and how SAP is adapting to these trends. To understand SAP’s digital core and how analytics forms a pillar of the methodology.

CHAPTER 2: BUSINESS SCENARIO FOR ANALYTICS LANDSCAPE TRANSFORMATION

Chapter Goal: To understand a real-world scenario of an enterprise which is planning to upgrade its traditional business intelligence to a modern analytics landscape.

SUB TOPICS:

Customer introduction

Customer’s current landscape and pain points

Customer’s expectation from analytics landscape

Expected landscape

CHAPTER 3: SAC FOR ENABLING “SINGLE VERSION OF TRUTH”

Chapter Goal: Understand how SAP Analytics Cloud enables a single platform for multiple data sources to come together for analysis.

SUB TOPICS:

Analysis of customer requirement

Alignment to specific SAP Analytics Cloud capability

Step by step process to implement the capability

Customer benefits and future direction

CHAPTER 4: LEVERAGE SAC TO CREATE “ALL-IN-ONE” ANALYTICS PLATFORM

Chapter Goal: SAC enables analytics for multiple business roles in an organization with options for 360 degree dashboards to self service data analysis to planning. This chapter explores these capabilities in detail.

SUB TOPICS:

Analysis of customer requirement

Alignment to specific SAP Analytics Cloud capability

Step by step process to implement the capability

Customer benefits and future direction

CHAPTER 5: EXPLOIT “AUGMENTED ANALYTICS” CAPABILITY OF SAC

Chapter Goal: SAC enables self-service with augmented analytics like search to insight and multiple smart features. This chapter explores each of these concepts in detail along with benefits of each feature.

SUB TOPICS:

Analysis of customer requirement

Alignment to specific SAP Analytics Cloud capability

Step by step process to implement the capability

Customer benefits and future direction

CHAPTER 6: DEVELOP SAC FOR “ANYTIME AVAILABLE” PLATFORM

Chapter Goal: One of the advantages of cloud application is the accessibility in addition to the freedom from maintaining costly infrastructure. This chapter explores how SAC is available across time zones and across devices.

SUB TOPICS:

Analysis of customer requirement

Alignment to specific SAP Analytics Cloud capability

Step by step process to implement the capability

Customer benefits and future direction

CHAPTER 7: CAPITALIZE ON “PREDICTIVE ANALYTICS” CAPABILITY THROUGH SAC

Chapter Goal: SAC includes built in capabilities to create predictive models and incorporate predictive analytics in data analysis and dashboards. This chapter explores this capability in detail.

SUB TOPICS:

Analysis of customer requirement

Alignment to specific SAP Analytics Cloud capability

Step by step process to implement the capability

Customer benefits and future direction

CHAPTER 8: CRAFT SPECIAL BUSINESS REQUIREMENTS ON SAC VIA CUSTOM APPLICATION DESIGN

Chapter Goal: One of the recently added capability is to build custom applications using a scripting language very similar to JavaScript. This enables developers to create custom apps and make them available for the business. This capability is the focus of this chapter

SUB TOPICS:

Analysis of customer requirement

Alignment to specific SAP Analytics Cloud capability

Step by step process to implement the capability

Customer benefits and future direction

CHAPTER 9: DESIGN A SECURE PLATFORM USING SAC

Chapter Goal: Especially with cloud applications, security is always a major concern in terms of data protection and authenticated access. This chapter explores SAC’s security capabilities in terms of data and application access.

SUB TOPICS:

Analysis of customer requirement

Alignment to specific SAP Analytics Cloud capability

Step by step process to implement the capability

Customer benefits and future direction

CHAPTER 10: PRODUCT ROAD MAP & FUTURE DIRECTION FOR SAC

Chapter Goal: This chapter explores the future road map of SAC and how SAP’s direction for the tool

Appendix A

Appendix B