Analytics current-state map
Sources, pipelines, models, reports, metrics, ownership, and recurring pain documented in one connected view.
Service practice
Data & analytics strategy
Set the direction for analytics, BI, data platforms, governance, and delivery with priorities grounded in how decisions are made.
Our perspective
A useful data and analytics strategy connects the questions the business needs answered to the sources, definitions, models, platforms, ownership, and delivery sequence required to answer them consistently.
Capability catalog
Work within this practice
- Data and analytics strategy
- Analytics and BI roadmaps
- Data and BI maturity assessments
- KPI and metric strategy
- Analytics platform selection
- Reporting modernization planning
- Fractional data and analytics direction
- Data and analytics technical diligence
Concrete output
What the work can produce
Decision and KPI framework
Decision needs, measures, definitions, consumers, and review cadence connected in one record.
Prioritized analytics roadmap
BI, platform, governance, and operating improvements sequenced by value, dependency, and readiness.
Delivery-ready first phase
Defined scope, architecture assumptions, success measures, responsibilities, and handoff expectations.
Technical context
Platforms and disciplines
- Analytics operating models
- BI portfolio assessment
- KPI definition
- Platform evaluation
- Architecture review
- Delivery planning
Compare the delivery boundary before choosing a starting point.
Review defined engagements, delivery models, and technology evidence without repeating the service catalog.