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