SAP stops license measurements for existing customers

The digital transformation has finally also taken hold of the unwelcome topic of "license metering for existing SAP customers".

What used to have to be laboriously executed and evaluated in the SAP system of existing customers will in future be done without any intervention or inconvenience at all. The AI (artificial intelligence) component from SAP Leonardo makes it possible and the management board in Walldorf rejoices: a technical revolution!

SAP has fed all customer and contract data into Leonardo Machine Learning, and the system uses this to work out a rough concept for possible license violations and develop a plan of attack.

The analysis in Leonardo is supplemented by SAP's CRM and data from SolMan. Also very important are the access statistics to the SAP Support Portal, where existing customers log in with their S-User via Cloud Identity.

From the data sources SAP CRM, SolMan, Facebook, Twitter, LinkedIn and Support Portal, Leonardo Machine Learning generates the probability of copyright infringement and illegal system use.

An individual threshold value calculates the license back payment from the probability. The machine learning algorithm basically assumes that an actual license measurement will reveal the result of underlicensing in any case.

With this premise, it is sufficient to use the existing customer profile to calculate the amount of relicensing. The automatic generation of an existing customer profile is also the added value: You do not have to take care of the license measurement yourself or administer it.

Among other things, Leonardo closely observes which pages the S-user calls up in SAP's support portal and deduces the motives, intentions and strategies of the existing customer: Does he want to bypass official channels? Is he planning to use the software multiple times at different locations? Is he illegally trying to simulate on-premise in the cloud?

Naturally, the movement profiles in SAP's Support Portal are not always sufficiently accurate, which is why social media data is also included in the user evaluation.

Those who are often on www.e-3.de and www.e3zine.com fall into the highest threat level for sublicensing. The LinkedIn profile and contacts on this portal are also used to complete the threat picture.

The goal is to hinder and disrupt the existing customer in his operational work as little as possible - and to capture all relevant data automatically in the background and evaluate it using Leonardo Machine Learning.

The system for determining sublicensing and subsequent invoicing is 99 percent stable and trustworthy, because the Leonardo data is continuously compared with the SolMan status reports (unfortunately only from SolMan 7.2, but this will be mandatory for all existing customers from January 1, 2018 anyway).

Leonardo Machine Learning guarantees consolidated, balanced and transparent licensing of all SAP systems for the first time in SAP's forty-year history.

Revenues in Walldorf are bubbling up like never before. They are rushing from one sales record to the next. The contribution margin is approaching the 90 percent mark. Leonardo Machine Learning for back royalties is the reference example for digital transformation.