Analytics strategy

A practical process for choosing the analytics work that matters.

Why this process matters

Many analytics teams spend too much time on tooling and too little on the decisions that matter most to the business. This guide provides a practical way to correct that.

The process

  1. Document your business model — Build a clear picture of the business using the Business Model Canvas.
  2. Identify key decisions — Map the customer and capital flows to identify the most important decisions in your business.
  3. Align analytics with business strategy — Get the strategic context that separates high-impact analytics from noise.
  4. Turn decisions into analytics opportunities — Generate and structure specific analytics opportunities.
  5. Score for business value — Score each use case for impact against the strategy.
  6. Map your data — Build a data map that connects your use cases to the data that would power them.
  7. Feasibility assessment — Score each use case for data and capability feasibility.
  8. Build your roadmap — Sequence your work to maximise expected value.

At the end of the process, you will have two things: a matrix that positions each analytics opportunity by business impact and feasibility, and a phased roadmap that leadership can fund and the team can deliver.