Meet your BI needs with SAP S/4HANA embedded analytics! Explore the system architecture and data model and learn how to perform analytics on live transactional data. Business user? Walk step-by-step through SAP Smart Business KPIs, dashboards, and multidimensional reporting. Analytics specialist? Master the virtual data model and report creation. Jack of all trades? Create CDS views, apply custom fields and logic, and learn to integrate SAP S/4HANA with SAP Analytics Cloud. This is your complete guide to SAP S/4HANA embedded analytics!Highlights include:1) Architecture2) Virtual data model (VDM)3) CDS views4) SAP Fiori apps5) SAP Smart Business6) Key performance indicators (KPIs)7) Dashboards8) Reporting9) Data warehousing10) SAP Analytics Cloud11) Machine learning

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.

... Target Audience ... 13 ... Book Structure ... 14 ... Acknowledgments ... 14 1.1 ... Digital Transformation ... 19 1.2 ... SAP S/4HANA: The Intelligent ERP System ... 23 1.3 ... SAP S/4HANA Business Requirements ... 30 1.4 ... Summary ... 34 2.1 ... Embedded Analytics versus Standalone Analytics ... 35 2.2 ... Combining Transactions and Analytics ... 39 2.3 ... Summary ... 44 3.1 ... Architecture Overview ... 45 3.2 ... Virtual Data Models in Core Data Services ... 60 3.3 ... Authorization and Security ... 81 3.4 ... SAP Fiori Programming Model: Access and Visualization ... 88 3.5 ... Summary ... 95 4.1 ... Operational Insight-to-Action Using the Analytical List Page ... 99 4.2 ... KPI Reporting and Analysis Using SAP Smart Business KPIs ... 109 4.3 ... Multidimensional Reporting ... 123 4.4 ... SAP Fiori Overview Pages ... 135 4.5 ... Embedded SAP Analytics Cloud Stories ... 143 4.6 ... Additional Functions ... 155 4.7 ... Summary ... 165 5.1 ... Content Delivered with SAP S/4HANA ... 167 5.2 ... Analytics Content and SAP Best Practices ... 174 5.3 ... Line-of-Business-Specific SAP Best Practices ... 181 5.4 ... Business Content for SAP Analytics Cloud, Embedded Edition ... 191 5.5 ... Integration SAP Best Practices ... 202 5.6 ... Summary ... 209 6.1 ... The Analytics Specialist Role ... 211 6.2 ... Browsing the Virtual Data Model ... 217 6.3 ... Creating and Publishing Data Sources and Queries ... 226 6.4 ... Manage KPIs and Reports ... 248 6.5 ... Maintaining Reports ... 269 6.6 ... Maintaining SAP Analytics Cloud, Embedded Edition Stories ... 285 6.7 ... Defining Date Functions ... 296 6.8 ... Creating SAP Fiori Launchpad Tiles for SAP Analytics Cloud Stories ... 304 6.9 ... Summary ... 306 7.1 ... The IT Expert Role ... 309 7.2 ... Creating and Consuming CDS Views ... 311 7.3 ... Summary ... 325 8.1 ... Custom Business Objects ... 327 8.2 ... Custom Fields and Logic ... 335 8.3 ... Summary ... 343 9.1 ... Do You Need Additional Data Warehouses? ... 348 9.2 ... Data Management for SAP S/4HANA ... 351 9.3 ... SAP BW/4HANA ... 354 9.4 ... SAP HANA for SQL Data Warehousing ... 366 9.5 ... SAP Data Warehouse Cloud ... 369 9.6 ... Big Data Warehousing ... 371 9.7 ... Summary ... 373 10.1 ... Should You Use Additional Business Intelligence Solutions? ... 375 10.2 ... SAP Analytics Suite ... 376 10.3 ... SAP Analytics Cloud ... 384 10.4 ... Summary ... 390 11.1 ... Overview ... 393 11.2 ... Approaches to Machine Learning ... 395 11.3 ... Solution Architecture ... 407 11.4 ... Intelligent Enterprise Example ... 411 11.5 ... Summary ... 414 A.1 ... SAP Analytics Cloud Integration into SAP S/4HANA ... 415 A.2 ... Data Integration of SAP S/4HANA Cloud Data ... 416 A.3 ... Cross-Product Analytics ... 417 A.4 ... UX Improvements and Adoption of SAP Fiori Innovations ... 418 ... Contributor ... 423