Strategy & Advisory for Data, Analytics, and AI Outcomes

What it includes

Maturity assessment

Assess current state: data reliability, reporting trust, governance, and AI readiness—then define the highest-impact gaps.

KPI hierarchy & decision cadence mapping

Define “what decisions matter weekly/monthly” and map them to a KPI tree—so dashboards align to actions and owners.

ROI modeling & prioritization

Quantify value (time saved, leakage reduced, risk reduced) and prioritize initiatives by impact vs effort.

Roadmap & target architecture

Target-state blueprint - systems, ingestion patterns, lakehouse/warehouse approach, semantic model plan and security

Governance & operating model

Define metric ownership, change control, access patterns, documentation depth, and the review cadence that drives adoption.

Deliverable

Current-state assessment & key risks

KPI system blueprint & decision cadence map

Target architecture & migration approach

4–8 week MVP proposal

Frequently Asked Questions

What do we receive at the end of advisory?

A roadmap, target architecture, KPI system definition, and an MVP scope with milestones and delivery plan.

How long does it take?

Usually 1–2 weeks for a focused domain; longer for multi-domain programs.

Do you also implement, or only advise?

Both. We can deliver the MVP and run ongoing managed services after the roadmap.