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NRB SAP DAY 2017 - Kenneth Stevens
1. Kenneth Stevens, Chief Technology Advisor– SAP BeLux
NRB SAP Public Services Forum, Genval, June 22d 2017
SAP DIGITAL ENTEPRISE PLATFORM
THE MODERN PLATFORM FOR THE DIGITAL ECONOMY
35. SAP DIGITAL ENTEPRISE PLATFORM
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
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.
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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
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.
