AI & Data
Business Intelligence
BI layer with governed metrics, semantic models, and role-appropriate reporting access.
Business Intelligence turns warehouse data into decision-ready reporting. We define metrics, build semantic models where useful, and structure access so leaders and operators see consistent numbers with documentation—not competing spreadsheet truths.
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Who it’s for
- • Leadership teams needing consistent KPI reporting
- • Companies consolidating multiple BI tools
- • Departments ready to move off spreadsheet mashups
Problems we address
- • Each department calculates revenue differently
- • BI tools point at raw tables without models
- • Access control is all-or-nothing
Expected outcomes
- • Governed metric definitions
- • Semantic / mart layers for BI tools
- • Role-based access to datasets and dashboards
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
KPI workshop and metric dictionary
Semantic modeling for BI tools
Dataset certification patterns
Row/column access guidance
Dashboard information architecture
Training for report consumers and builders
Technology
Representative technologies used for this service. Final stack depends on your estate.
- Metabase
- Looker
- Power BI
- Tableau
- dbt metrics / semantic layers
- Warehouse platforms
Architecture
AI application flow
User requests through the application into model APIs, tools, and storage.
Deliverables
- • Metric dictionary for agreed KPIs
- • BI datasets / semantic models
- • Access model documentation
- • Starter executive and ops reports
- • Training session
Out of scope
- • Ongoing embedded analyst staffing
- • Tool license procurement unless assisting selection
Timeline
Typical timeline
2–6 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
We recommend based on your warehouse, team skills, and budget—then implement against the choice you lock in discovery.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.