Data Strategy Consulting

Most data strategies are a target architecture, a maturity score and a three year roadmap nobody executes. The useful version is shorter and harder: which decisions the business cannot currently make, what is actually blocking each one, and the order to fix them in so something lands this quarter. We write that, cost it, and stay to build the first piece.

Data strategy consulting that produces a sequenced, costed plan tied to decisions the business cannot make today, not a maturity score and a three year roadmap.

Data strategy consulting is the work of deciding what a company should do with its data and in what order: which business decisions are currently blocked, what is causing each blockage, which investments remove it, and how the sequence is funded and governed. The output is a costed, sequenced plan, not a maturity assessment.

Data strategy consulting establishes which decisions a business cannot make today, diagnoses what is blocking each one, and sequences the fixes into a costed plan with named owners. Thinklytics writes that plan against real systems rather than a reference architecture, and the first stage is priced separately so a client can stop if the findings do not justify going further.

A written list of the decisions the business cannot currently make with confidence, gathered from the people who have to make them.

A diagnosis of what blocks each one, traced to a real system, a missing definition or an ownership gap rather than a maturity band.

A sequence with costs and owners, ordered so the first delivery lands in weeks and funds the argument for the next.

An honest account of what to stop doing, which is usually the part that frees the budget.

A maturity assessment. Scoring yourself against a five level model tells you where you sit and not what to do on Monday.

A target architecture diagram. Those are easy to draw, and the gap between the diagram and the sequence is where programmes die.

A platform selection exercise in disguise. If the strategy concludes with a tool purchase on page one, it was a sales process.

A three year plan. Anything past the next two or three deliveries is a guess, and presenting it as a plan invites the business to treat the whole document as fiction.

The decision inventory: what the business needs to decide, who decides it, and what they currently rely on instead.

A blocker map tying each decision to its actual cause, whether that is a definition nobody owns, a pipeline nobody trusts or a system nobody can query.

A sequenced plan with costs, named owners and dates, ordered by what unblocks the most for the least.

A stop list: the reports, tools and workstreams that can be retired, with the saving attached.

The governance that keeps the sequence honest, including who re-plans it and when.

Reconciliation labour removed once fourteen regional definitions of a patient encounter became one certified definition in 11 weeks.

Platform migration avoided after the reporting estate was rationalised and 4,380 dead workbooks were retired instead.

Misrouted claims recovered after the strategy identified entity resolution, not modelling, as the thing blocking three stalled pilots.

It described a destination without a sequence, so every team read it as permission to keep doing what they were doing.

The dependencies were never mapped, so the order of work is set by whoever asks loudest rather than by what unblocks the most.

The case is written in capability language. Finance funds a number, and nobody has attached one to the cost of the current state.

Almost always the data underneath rather than the model. That is a different project, and it is the one worth funding first.

It is the work of deciding what a company should do with its data and in what order. A useful engagement establishes which business decisions are currently blocked, diagnoses what is blocking each one, and sequences the fixes into a costed plan with named owners. A weak one produces a maturity score and a target architecture, which tell you where you sit without telling you what to do next.

Four things. The decisions the business cannot make today. The real cause of each blockage, traced to a system, a definition or an owner. A sequence with costs and dates, ordered by what unblocks the most for the least. And a stop list of what can be retired. Anything beyond the next two or three deliveries is a forecast rather than a plan and should be labelled as one.

Weeks, not quarters. A strategy that takes six months to write has consumed the budget that should have delivered the first piece of it. Our first stage is scoped to produce the written question and the sequence, and it is priced separately so you can stop there if the findings do not justify going further.

You need the part of it that covers the data your AI will read. Most stalled pilots are stalled on definitions, identity resolution and ownership rather than on the model, so a scoped readiness diagnosis is usually more valuable than a full strategy. At Express Scripts three pilots had been blocked for over a year on three separate member ID systems, which is a data problem wearing an AI costume.

What is the difference between data strategy and data governance?

Strategy decides what to do and in what order. Governance decides who owns each definition, who may see what, and how you prove it. Strategy without governance produces a plan nobody can execute because no one can agree what the numbers mean, and governance without strategy produces a well run council governing things that do not matter.

The drivers are how many business units are in scope, how many systems have to be traced, and how contested the ownership is. Thinklytics prices by deliverable rather than by an hours bucket, and the first stage is priced separately from the build, so scope and cost are agreed before work starts. Request the audit for a fixed quote.

Yes, and we think that is the point. The person who sits in the meeting where two directors disagree about a definition is the person who later writes the layer that settles it. There is no handover between a strategy team and a delivery team, which is where most of the value usually leaks.

Ownership, definitions and the audit trail underneath the plan.

The pipelines and identity resolution the sequence usually starts with.