Relevant for Enterprise Architecture Management
#Reduce complexity #Cut costs #Improve governance
Many organizations design and govern their application landscape based on documented architectures, ownership models, and intended usage.
Real usage data often tells a very different story: Applications that are strategically classified as “core” are barely used, multiple tools support the same capability with overlapping user bases, and platforms assumed to be broadly adopted are only actively used by small parts of the organization.
By integrating actual usage data into enterprise architecture, architects gain a fact-based view of how the landscape is truly consumed. This enables application rationalization, capability consolidation, and informed target architecture decisions — while simultaneously eliminating redundant licenses and unlocking immediate, measurable savings as a by-product of better architecture.
Step 1: We measure the Real Usage of SaaS & custom-built apps
Step 2: We compare it with your Enterprise Architecture
Step 3: We help you understand the deltas
There is always a gap between the documented application landscape and how applications are actually used across the enterprise. Understanding this gap reveals shadow applications, parallel tool usage, and capabilities that exist outside architectural governance — and shows where complexity and cost accumulate without delivering architectural or business value.
1. Retirement candidates
2. Shadow / rogue IT
3. Documentation gaps in the EAM
4. Usage localization (e.g. by country, site, entity, etc.)
PLUS Indicators of consolidation opportunities
PLUS Indicators of automation potential
An objective discussion foundation for the effective execution of Enterprise Architecture Management
Based on the measured data and identified indications, targeted deep dives can be conducted, ensuring customers don’t end up buying a pig in a poke.
Creation of a usage heatmap
Showing what is being used and which functions/areas are redundant, unnecessary, or can be covered by other systems. A precise ‘map’ for better alignment between business and IT. Less over-engineering, better target architecture.
Measurement of in-app and cross-app journeys
Showing how users move within and across apps, enabling the derivation of process and workflow optimizations/automations as well as clear design of data flows and interfaces between apps.
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