SAP Machine Learning: Adoption in Industry

Level 1 – Easy ; 20 minute read

Audience: Project managers, business analysts, subject matter experts

Author: Mark Muir, SAP BTS, S/4HANA RIG Americas

Welcome!  SAP’s strategy for industry brings 40+ years of know-how from classical ERP to the world of SAP S/4HANA and the Intelligent Enterprise.  With SAP S/4HANA, we are building on the success of SAP Business Suite and SAP Simple Finance powered by SAP HANA with a new business suite called SAP S/4HANA.

Natively re-designed and built on SAP HANA for massive simplifications in the data model; indices, aggregates and data redundancies are eliminated for a simplified data model and co-existence of all 25 SAP industries.  Customers have the benefit of having *multiple industry solutions activated in parallel and being able to select and operate single functions and processes from an industry solution opening the door to new and innovative business models i.e. re-architecting industry capabilities.

Key Innovations

• *Simplified architecture and streamlined data models
  • In the Moment Analytics
  • New UX – Fiori – Any Device
  • Business Suite Applications moved to Digital Core
  • Simplified Business Processes & New Business Models
  • **Industry Solutions all in one Digital Core
  • ***Platform for Digital Innovation – Machine Learning, AI, IoT and Blockchain
  • Cloud & on-premise deployment
  • Natively integrated with LOB Cloud Edge Solutions

Note: More information related to S/4HANA Simplification categories please reference the latest update published on help.sap.com / Conversion & Upgrade Assets. **Restrictions do apply please always read the latest version of SAP S/4HANA restriction note and associated industry notes (SAP Support Portal). ***Refer SAP Roadmaps below.

SAP S/4HANA Journey Map: S/4HANA Enterprise Edition on-premise is 1809 (YY/Month)

SAP Industry Value Proposition

The Next Generation of Business Processes are already here, evolving SAP roadmaps along with the SAP Transformation Navigator help plan your journey to an intelligent enterprise (customer story link).

It’s very difficult to separate machine learning use case from industry, the table below offers an extensive industry portfolio and catalog of publications to help.

SAP Industry Posters and Papers: End-to-end industry vision to value story – September 2018

Machine Learning and Industry

As we learnt in the blog Solving unique challenges in your business the path to transformation employs numerous tools to search and filter machine learning use case scenarios e.g. Leonardo Kaleidoscope) to help optimize, extend and transform your business simply identify the use case and drill down to learn more (below).

Example: Cross Industry – Predictive Analytics and Machine Learning with SAP HANA

Let’s not forget searching by industry doesn’t have to be by ‘industry’, your interests maybe discrete manufacturing and BYOM.  Simply search the SAP Best Practices Explorer using terms “machine learning” or “predictive” to learn about available scope items by product e.g SAP S/4HANA Cloud, on-premise etc…. Last but not least If you are interested in SAP Partners, search the SAP AppCenter for more information.

SAP Best Practices Explorer

SAP Roadmaps by Product Category

• SAP Leonardo
  • SAP Leonardo Internet of Things ; SAP Leonardo Machine Learning ; SAP Leonardo.

SAP Roadmaps by Industry

• Consumer Industries
  • Consumer Products ; Life Sciences ; Retail ; Wholesale Distribution
• Discrete Manufacturing Industries
  • Aerospace & Defense (A&D) ; Automotive ; High Tech ; Industrial Machinery & Components (IMC)
• Energy & Natural Resources Industries
  • Chemicals ; Mill Products ; Oil & Gas ; Utilities ; Mining
• Financial Services Industries
  • Banking ; Insurance
• Public Services
  • Defense & Security ; Healthcare ; Higher Education & Research ; Public Sector
• Services Industries
  • ,Construction & Operations (EC&O) ; Professional Services ; Telecommunications ; Travel & Transportation ; Media
• Sports & Entertainment
  • Sports & Entertainment

Thank you for your interest

Mark

Further reading in this Machine Learning blog series

1. An enablement guide for managers
2. Solving unique challenges in your business
3. Adoption in industry
4. Where’s the beef?
5. Introduction to Modelling
6. Approaching your Project
7. Co-Innovation with SAP
8. Critical Thinking