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NRB SAP DAY 2017 - Kenneth Stevens
Kenneth Stevens presented on the SAP Digital Enterprise Platform. The platform is designed to help businesses transform digitally by enabling them to reimagine work, processes, and business models using technologies like machine learning, real-time analytics, integration, APIs, and more. It provides a modern platform to help businesses efficiently innovate and differentiate themselves in the digital economy.
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NRB SAP DAY 2017 - Kenneth Stevens
- 1. Kenneth Stevens, ChiefTechnology Advisor– SAP BeLux NRB SAP Public Services Forum, Genval, June 22d 2017 SAP DIGITAL ENTEPRISE PLATFORM THE MODERN PLATFORM FOR THE DIGITAL ECONOMY
- 2. 3INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ EVERY BUSINESS IS NOW A TECHNOLOGY BUSINESS
- 3. 4INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ BIMODAL IT
- 4. 5INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ BIMODAL IT DEMANDS INTEGRATION
- 5. 6INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ RE-IMAGINE WORK
- 6. 7INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 7. 8INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 8. 9INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 9. 10INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 10. 11INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 11. 12INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 12. 13INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 13. 14INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ RE-IMAGINE PROCESSES
- 14. 15INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 15. 16INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 16. 17INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 17. 18INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 18. 20INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 19. 21INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ PAYMENTS INVOICES SAP INVOICE MATCHING
- 20. 22INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 21. 23INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ RE-IMAGINE MODELS
- 22. 24INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 23. 25INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 24. 26INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ Brand Sentiment 360O Customer View NEW SIGNALS FEASIBLE WITH BIG DATA Product/Service Recommendation Propensity to Churn Real-time Demand/ Supply Forecast :-) Predictive Maintenance Insider Threats Network Optimization Fraud Detection Risk Mitigation, Real-time Asset tracking Personalized Care
- 25. 27INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ THE ART OF THE PaaSIBLE
- 26. 28INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ TWO-PACED IT EFFIENCY AND INNOVATION
- 27. 29INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ Differentiate Your Business Optimize Your Core Processes SAP Cloud Platform SAP Solutions Digital Core Agile Layer Extend Integrate Build & Innovate Data as your Foundation SAP CLOUD PLATFORM ENABLING YOUR DIGITAL TRANSFORMATION
- 28. 30INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ SAP Cloud Platform SAP Solutions Data as your Foundation Extend Integrate Build & Innovate SAP CLOUD PLATFORM PAAS TO EXTEND, INTEGRATE AND BUILD BUSINESS APPS
- 29. 31INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ SAP Solutions Marketplace Ecosystem API Business Hub Big Data Altiscale Hadoop SAP HANA Vora SAP HANA Any DB Security Integration AnalyticsMobile IoT ServicesUX & Collaboration Machine Learning Business Services SAP CLOUD PLATFORM THE MODERN PLATFORM FOR THE DIGITAL ECONOMY
- 30. 32INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ 32 SAP LEONARDO FULLY INTEGRATED WITH SAP APPLICATIONS
- 31. 33INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ SAP LEONARDO FULLY INTEGRATED WITH SAP APPLICATIONS
- 32. 34INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ SAP startup.focus.
- 33. 35INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ
- 34. 36INTERNAL© 2017 SAPSE or an SAP affiliate company. All rights reserved. ǀ Machine Learning Integration Real-time Analytics UX Mobile Collaboration IoT Microservices Integration APIs connecting People, Things and BusinessesIntelligently
- 35. SAP DIGITAL ENTEPRISEPLATFORM THE MODERN PLATFORM FOR THE DIGITAL ECONOMY Kenneth Stevens, Chief Technology Advisor– SAP BeLux NRB SAP Public Services Forum, Genval, June 22d 2017
Editor's Notes
- #23 The signal, or signals, you may want to track may be different than other companies. While over time you may want to track many different signals, the big question to ask yourself is, ‘Where do you want to begin?’ For instance, do you want to track: Brand sentiment – By capturing and analyzing customer comments on Facebook, Twitter, and LinkedIn in order to improve customer experience and optimize campaign performance. Predictive maintenance – By analyzing a continuous stream of machine data diagnostics, you can predict when the performance of machinery is degrading or even worse potentially about to break down. Insider threats – By looking for anomalies hidden in data about user behavior, you identify suspicious behavior and pinpoint potentially high-risk employees Network optimization – By understanding usage patterns, and predicting customer trends, you can optimize your communications network Propensity to churn – Maybe your business suffers from a customer turnover in a highly competitive market. How can you determine a customer’s propensity to churn, or in other words, a likelihood they will leave you as a customer so that you can offer new services or deals in order to keep them. Product recommendation – By analyzing customer purchasing history and online browsing patterns, you can build a profile of customer interests and make highly targeted product upsell recommendations. Fraud detection – Identify purchases or insurance claims that may have a high probability of being fraudulent by analyzing not only the transactional information, but also electronic documents. Risk mitigation, real-time – By analyzing financial transactions in real-time, you can identify high risk investments, sales, and deals before they actually occur 360 degree customer view – By storing and analyzing all data about a customer, such as transactions, browsing history, customer profile, social media, and more, you can build a complete view of your customer across all channels. Asset tracking – Track high value assets and identify abnormal behavior that may put assets at risk of loss, or identify inefficient usage that is costing your business money. Personalized care – Use advanced analytics to create personalized treatments for patients, such as how Mitsui Knowledge Industry offers personalized cancer treatment based on genome analysis Real-time demand / supply forecast – Maybe your business is very seasonal or varies greatly in each local market. How can you better forecast customer demand by market, or by season, or weather pattern, or market trend, in order to forecast supply requirements and optimize inventory. ----------------------------------------- COMMENT TO SPEAKER: This is a great opportunity to stop and ask your customer questions to understand where their pain is the greatest today, what ‘signal’ they are gravitating towards, and what is it they hope to accomplish with Big Data. Before moving onto the next slide we want to understand what it is that is important to the customer, and find a very specific measure or signal that we can use as context for the rest of the presentation. NOTE: You can find other ‘signal’ slides that are specific for particular industries or lines of business by visiting the Big Data community: https://go.sap.corp/BigData
- #29 As illustrated by Fieldglass Live Insights, SAP is not only bringing Leonardo to customers and partners to power their applications, we are going to use Leonardo to make every SAP application from Ariba to S/4HANA more powerful, more intelligent, and more capable for our customers. We unlock a virtuous cycle of innovation by infusing Leonardo into the breadth of the SAP portfolio.