Existing data tells you who HAS a license. Maybe even who logs in. But not whether users actually NEED their software.
See how enterprises use Real Usage data to uncover unnecessary SaaS spend and negotiate with evidence instead of assumptions. With Christoph Sieger, former Head of Global Digital Workplace at Bayer.
License assigned ✓
User logged in ✓
Application opened ✓
What did the employee actually do?
Which functionality did they actually use?
Did they need this license at all?
Real Usage looks at what employees actually do inside the software.
In one global enterprise, around 80% of 13,000 ServiceNow Fulfiller licenses appeared to be needed based on the data available.
Then we looked at what users were actually doing inside the application.
The result was radically different and revealed ~€4m in OPEX savings potential. We'll break down exactly what we found in the webinar.
01. Why existing usage data is misleading you
Why licenses, assignments and logins still don't tell you whether employees actually need the software.
02. What Real Usage Data reveals
See what changed when actual user behavior was analyzed across 13,000 enterprise licenses
03. How this can actually work in an enterprise
What a customer's experience teaches about Privacy, Security and Works Council & what it takes to put Real Usage into practice.
Save my Seat
Former Head of Global Digital Workplace at Bayer
Christoph brings the enterprise perspective: what it actually takes to turn usage evidence into savings inside a global organization — including Privacy, Security and Works Council.

CRO at AppNavi
Benjamin brings the Real Usage perspective: how actual employee behavior reveals what licenses, logins and traditional usage data can't.
Select the time that works best for you.
Tuesday, October 6, 2026
10:00 AM
Berlin · CEST
● Live webinar
30 min
Tuesday, October 6, 2026
5:00 PM
Berlin · CEST
● Live webinar
30 min
Thursday, October 8, 2026
12:00 PM
Berlin · CEST
● Live webinar
30 min
Thursday, October 8, 2026
7:00 PM
Berlin · CEST
● Live webinar
30 min