Shared KPI Catalog
Before: teams used different formulas.
After: single KPI glossary + semantic layer; disputes dropped; execs aligned.
KPI DictionaryGovernance
Service
Business Intelligence
Data models, semantic layers, and governance—so teams share definitions, trust dashboards, and make faster decisions with confidence.
Centralized metrics & definitions
Governed self-serve analytics
Shared KPI catalog & lineage
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What You Get
Semantic Layer
One set of business definitions across dashboards and teams.
- KPI dictionary & business glossary
- Reusable, governed data marts
- Row-level security patterns
DefinitionsRLSMarts
Modeling & ETL
Stable, documented pipelines from raw to analytics-ready.
- Dimensional/star models
- Quality checks & monitoring
- Versioned transformations
ETLDQStar
Governance & Lineage
Trustworthy analytics with audit-ready lineage and access controls.
- Lineage from source to dashboard
- Role-based access & approvals
- Operational runbooks
LineageAccessRunbooks
BI Dashboard Showcase
Revenue (MTD)
$2.48M
+8.2% vs last month
Conversion Rate
4.7%
+0.6 pts WoW
On-Time Delivery
96.4%
Target ≥ 95%
Monthly Revenue
Revenue Mix
Product
Services
Support
Top Regions (MTD)
| Region | Revenue | Growth |
|---|---|---|
| North America | $1.12M | +9% |
| EMEA | $820k | +6% |
| APAC | $540k | +11% |
Note: Example visualization, not live data.
Examples
Governed Self-Serve
Before: backlog & ad-hoc extracts.
After: certified datasets with RLS; analysts build safely without chaos.
RLSCertified
Lineage & Trust
Before: “Which number is right?”
After: source-to-dashboard lineage; QA checks; audit trail for decisions.
LineageQA
Process & Timeline
1. Discover
Inventory metrics, sources, pain points; define target KPIs and success criteria.
2. Design
Data model, semantic layer, access plan, and governance checkpoints.
3. Build
Pipelines, marts, KPI catalog, dashboards; quality checks and docs.
4. Adopt
Training, certification process, and operational runbooks.
FAQs
What tools do you use?
AWS QuickSight, Alteryx, Python/SQL, and GIS when geography matters—chosen for cost and fit.
Can you migrate from Tableau?
Yes. We map KPIs, rebuild critical content in QuickSight, and retire legacy extracts.
Who maintains it?
You do. We hand off assets with runbooks and can support via a light retainer.
Ready to standardize your metrics?
Let’s put a semantic layer and governance in place—so people trust the numbers.