SAP S/4HANA Embedded Analytics

Jürgen Butsmann is part of the Global Business Development team for SAP S/4HANA, and is responsible for the Go-To-Market (GTM) of SAP S/4HANA in the EMEA region(s). He ensures that this new innovation is picked up by all markets units of SAP EMEA and acts as a solution evangelist with customers and partners. In conjunction with the development organization he works on the future strategy and roadmap of SAP S/4HANA. This includes the positioning and messaging of the solution. In particular, Jürgen heads the GTM of the analytics solutions inside SAP S/4HANA (SAP S/4HANA embedded analytics) and positioning with related solutions (e.g. SAP Analytics suite and enterprise data warehousing, incl. SAP HANA and SAP BW/4HANA). Jürgen joined SAP back in 1997 as consultant for SAP EC EIS, SAP Business Warehouse, SAP SEM, and SAP EPM. Jürgen built up business development for enterprise performance management for planning in EMEA and globally until 2007. In 2012 he took over solution ownership of SAP HANA Live and the SAP Smart Business cockpit as part of solution management of the SAP Business Suite powered by SAP HANA. He joined the business development team for SAP S/4HANA in 2016. He is based out of SAP Headquarters in Walldorf, Germany. Jürgen studied industrial engineering and management (Wirtschaftsingenieurwesen) at the University of Karlsruhe (TH) and has a Diplom Wirtschaftsingenieur. Thomas Fleckenstein is chief product owner of SAP S/4HANA analytics. He has shaped and evangelized the concept of embedded analytics in SAP cloud solutions such as SAP Business ByDesign and SAP S/4HANA Cloud. This concept is regarded as one of the major differentiators of SAP's offering compared to other cloud solutions. His team is developing the Smart Business KPI and reports feature in SAP S/4HANA, which is also available in other products such as the SAP Business Suite on SAP HANA and the SAP Cloud Platform. Thomas holds a diploma in business and administration from the University of Mannheim, Germany. He joined SAP in 1999 as a developer for analytics business content for the SAP Business Warehouse. In 2004, he became product manager for analytics in SAP Business ByDesign. As of 2011, he works in the SAP Business Suite, and since 2014 for SAP S/4HANA. Thomas is frequently presenting topics around analytics at SAP TechEd in the US and Europe. Anirban Kundu is a program director for SAP S/4HANA embedded analytics enablement at SAP. He has more than 17 years of experience across multiple roles including product management, corporate strategy, and consulting. Currently he is on a special assignment as a solution architect for operational analytics at Nestle. He has conducted more than 30 workshops about SAP S/4HANA embedded analytics for customers and partners across the US, EMEA and APJ. He has been a passionate advocate of enterprise analytics and has more than 14 years of experience building analytical application across range of technology and application areas.Previously, he worked as the global analytics lead for the SCM, PLM and manufacturing analytics and was instrumental in key product launches enhancing the SAP Analytics portfolio. He managed a consulting practice within the manufacturing driving strategy, growth and P&L for strategic insights. He received his MBA from IIM Bangalore and his B.Tech. in chemical engineering from IIT Bombay. He has also completed an immersion program at KAIST Business School, Seoul, South Korea.

Preface
Target Audience
Book Structure
Acknowledgments
Getting Started
SAP's Digital Business Framework
Digital Transformation
SAP S/4HANA: The Digital Core
SAP S/4HANA Business Requirements
Summary
Analytics in the Digital Economy
Embedded Analytics versus Standalone Analytics
Combining Transactions and Analytics
Summary
Architecture
Architecture Overview
Virtual Data Models in Core Data Services
Authorization and Security
SAP Fiori Programming Model: Access and Visualization
Summary
Analytics by User Type
Analytics for the Business User
Operational Insight-to-Action Using the Analytical List Page
KPI Reporting and Analysis Using SAP Smart Business KPIs
Multidimensional Reporting
SAP Fiori Overview Pages
Analysis Path Framework
Additional Functions
Summary
Predefined Analytics Content
Content Delivered with SAP S/4HANA
Analytics Content and SAP Best Practices
Line-of-Business-Specific Best Practices
Integration Best Practices
Summary
Analytics for the Analytics Specialist
The Analytics Specialist Role
Browsing the Virtual Data Model
Creating and Publishing Data Sources and Queries
Maintaining SAP Smart Business KPIs
Maintaining Reports
Analysis Path Framework
Defining Date Functions
Creating SAP Fiori Launchpad Tiles for SAP Analytics Cloud Stories
Summary
Analytics for the IT Expert
The IT Expert Role
Creating and Consuming CDS Views
Summary
Additional Extensibility Options
Custom Business Objects
Custom Fields and Logic
Summary
Additional SAP Analytics Tools
Data Warehousing
Do You Need Additional Data Warehouses?
Data Management for SAP S/4HANA
SAP SQL Data Warehousing with SAP HANA 2.0
Big Data Warehousing
Summary
Business Intelligence
Should You Use Additional Business Intelligence Solutions?
SAP Analytics Suite
SAP Analytics Cloud
Summary
Predictive Analytics and Machine Learning
Process Overview
Machine Learning Solution Architecture
Machine Learning Use Cases for SAP S/4HANA
SAP S/4HANA Embedded Machine Learning
Summary
Appendices
Future Outlook
The Authors
Index