Case Studies
Strategy. Execution. Adoption.
How we've helped organizations build analytics they actually use.
01
Data Roadmap for a Growing Organization
From reactive reporting to a clear, phased analytics strategy
StrategyData RoadmapDecision Frameworks
Context
A fast-growing organization needed better analytics, but lacked clarity on what to build now vs later. Tooling decisions were becoming reactive and misaligned with business priorities.
The Problem
- No shared view of analytics priorities
- Risk of over-engineering early
- Analytics investments not clearly tied to decisions
What We Did
- Assessed business maturity, decision cadence, and data readiness
- Identified decision-critical questions across leadership and operations
- Designed a phased data roadmap: Core KPIs → Automation & standardization → Advanced analytics where it adds value
Business Impact
- Faster time-to-value from analytics
- Avoided unnecessary platform and engineering costs
- Clear alignment between leadership, data, and execution teams
AI Integration
- AI-assisted analysis of stakeholder interviews to identify recurring themes and decision patterns
- Automated assessment of existing data infrastructure and readiness
- Generated comprehensive documentation and roadmap deliverables with clear phase definitions
Who This Is For
Founders, heads of ops, and leaders scaling analytics without creating long-term complexity.