Self-Service BI Enablement
Departments build their own analyses in Power BI instead of waiting on IT tickets.
We enable departments to build their own analyses in Power BI on a clean data foundation. Instead of every request becoming an IT ticket, teams create their own governance-compliant analyses.
- Departments get answers in days instead of weeks.
- IT is relieved of ad-hoc reporting requests.
- A shared understanding of data despite decentralized creation.
IT reporting requests
more active report builders
instead of weeks until an analysis exists
for data models company-wide
The business case weighs freed IT capacity against training and governance effort.
- 01
Maturity check
We assess how departments currently work with Excel and reports.
- 02
Build data model
A central, understandable data model is provided as the foundation.
- 03
Define governance
Rules for approval, certification and naming conventions are defined.
- 04
Train power users
Selected business users learn to build their own Power BI reports.
- 05
Build community
An internal power-user network carries the knowledge forward.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Central data model
Cleansed core tables as a shared base for all reports.
Master data
Customer, product and cost-center master data for filtering.
Excel uploads
A controlled way to incorporate supplementary Excel data.
Access data
Roles and permissions to govern data visibility.
Usage data
Power BI usage statistics to steer adoption.
Existing reports
Existing Excel and BI reports as a starting point.
Business departments
Build their own analyses instead of waiting on IT capacity.
IT
Focuses on the platform instead of individual reports.
Controlling
Retains governance over central KPI definitions.
Executive management
Sees more data-driven decisions in everyday operations.
Departments get answers in days instead of weeks.
IT is relieved of ad-hoc reporting requests.
A shared understanding of data despite decentralized creation.
Higher acceptance of BI across the whole company.
Fewer Excel silos with their own logic.
With a solid data foundation this use case gets faster, cheaper and far more stable.
A certified data model prevents conflicting metrics.
Role-based security protects sensitive data despite broad usage.
Central governance makes self-service sustainable rather than chaotic.
Scalable infrastructure supports a growing number of users.
KPI framework
Uses the same certified KPI definitions as the framework.
Data platform
Builds on the same central data platform as other BI applications.
Embedded analytics
Successful self-service reports are sometimes embedded into applications.
Management Cockpits
Revenue, margin and cash at a glance – updated daily instead of once a month.
Finance & Controlling Reporting
Month-end close and cost-center reports without an Excel marathon at the start of the month.
Sales & CRM Analytics
Make pipeline, forecast and customer potential visible instead of guessing in the CRM.