Services
Data & Analytics Diagnostic
A structured assessment to baseline current capabilities and uncover high-impact growth opportunities
Align business context: Tie analytics priorities to strategic objectives and key metrics
Catalog current assets: Map data sources, reports, dashboards, and models
Benchmark maturity: Assess capabilities, ways of working, and supporting infrastructure; surface critical gaps
Prioritize opportunities: Identify high-impact opportunities, including pragmatic AI use cases
Data and Analytics Strategy & Pilots
Convert diagnostic insights into a sequenced roadmap and proof-of-value pilots
Define target state: Specify required capabilities, governance, and milestones
Prioritize use cases: Rank by growth impact, feasibility, and risk
Set performance metrics: Establish KPIs and investment requirements
Launch pilots: Execute time-boxed programs to validate value and de-risk scale-up
Pilot Scale-Up & Enterprise Integration
Industrialize proven pilots and embed analytics solutions across the organization
Operationalize validated use cases: Harden data pipelines, models, and dashboards
Extend coverage: Replicate successful pilots to additional markets, segments, and/or functions
Strengthen controls: Implement governance, monitoring, and change management for sustainable performance
Measure at scale: Embed KPIs and value tracking to confirm enterprise-level impact
Fractional / Interim Chief Data & Analytics Officer Support
Part-time executive leadership to embed and scale data-driven value
Board-level engagement: Represent data and AI in strategic and financial discussions
Portfolio governance: Oversee initiative pipeline, funding, and risk controls
Talent and operating model: Mobilize teams, design scalable systems, and establish governance
Capability building: Coach leaders and drive adoption through structured enablement