Strategy
Analytics strategy & roadmap
Problem: Metrics conflict, teams distrust the numbers, or leadership cannot see progress toward goals.
Approach: Workshops with stakeholders, current-state assessment, target KPI tree, and a phased roadmap with
owners and quick wins.
Outcomes: Shared definitions, governance guardrails, and funding-ready initiatives.
Discuss strategy
Engineering
Data engineering & quality
Problem: Siloed sources, brittle pipelines, or reports that break when schemas change.
Approach: Incremental pipeline design, testing for data quality, observability, and documentation that fits
your stack.
Outcomes: Reliable datasets analysts and tools can depend on.
Talk pipelines
Insights
BI, reporting & self-serve
Problem: Dashboard sprawl, low adoption, or “reporting team as bottleneck.”
Approach: Information architecture for dashboards, role-based templates, and enablement so business users can
answer their own follow-up questions safely.
Outcomes: Fewer ad-hoc requests, faster decisions, clearer accountability.
Improve reporting
Advanced
Advanced analytics & ML
Problem: Pilots that never reach production, or models nobody trusts.
Approach: Problem framing, baseline metrics, ethical review where needed, MLOps-light patterns, and handover
plans.
Outcomes: Documented models with monitoring hooks and a path to scale or retire.
Explore ML support