Data & Intelligence service
Business Intelligence
Create a governed reporting layer where measures have shared definitions, visible ownership, useful context, and a controlled path for change.
Service context
Business intelligence is dependable when people interpret the same measure in the same way. We connect source lineage, semantic definitions, reporting design, access, and ownership around the questions leaders repeatedly ask.
The result is more than a dashboard collection: it is a managed reporting product with documented meaning, usability standards, refresh behavior, and a route for changing measures without creating parallel truth.
Problems addressed
- 01
Teams reconcile different versions of the same measure before they can discuss what it means.
- 02
Reports reproduce source-system structure rather than the questions and decisions users need to navigate.
- 03
Metric changes have no owner, impact assessment, release note, or retirement path for older definitions.
Engagement approach
Prioritize decision journeys and define measures, dimensions, grain, ownership, and acceptable freshness with business users.
Build a governed semantic layer and reporting experiences that expose context, definitions, and data limitations.
Establish release, access, usage, support, and retirement practices for reports and measures.
Delivery stages
- 01
Prioritize
Select decision journeys, users, measures, dimensions, freshness, and ownership.
- 02
Model
Create governed semantic definitions with lineage, tests, access, and change impact.
- 03
Design
Build accessible reporting experiences with context, comparison, and clear limitations.
- 04
Manage
Operate releases, support, usage review, metric changes, and report retirement.
Technology context
Power BI
Tableau
dbt
Snowflake
Value direction
These are intended operating improvements, not guaranteed results.
- Shared measures with accountable owners and traceable source logic.
- Reports organized around decisions and user questions rather than system tables.
- A controlled change path that reduces conflicting versions of important metrics.
- Usage and support evidence that helps retire low-value reports and improve high-value ones.
Decision questions
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