02.5Digital, Data & AI
Data strategy consulting
Data architecture, governance, and monetization: the data strategy work delivered as independent advisory, worldwide, from a California base.
The engagement
How we help
Data strategy consulting is data architecture, governance, and monetization: the work of deciding how a company should collect, structure, protect, and use its data so it becomes a genuine asset rather than a scattered, risky cost center.
We help you see your data as a strategic resource: where it lives, what it's worth, how it should be governed, and where it could create new value. The engagement produces a data strategy tied to the business: an architecture and governance model you can build toward, and a clear-eyed view of where data actually pays off.
Our founder's work at AfterQuery involved building more than 1,500 valuation and accounting question-and-answer sets to evaluate how well AI models reason about financial data, real hands-on experience with what makes a data asset actually usable, not just collected.
For the evidence behind any automation claim, start with where the savings numbers come from.
- Practice
- Digital, Data & AI practice
- Typical buyer
- CDOs, CIOs & data leaders
- Reach
- Worldwide
Deliverables
What you receive
Data initiatives drift when they chase capability instead of value. The work keeps every recommendation anchored to what the business is trying to do.
What data you hold, where it lives, its quality, and its risk:
the honest starting map most organizations don't have.
How data should be structured, integrated, and accessed to serve the business:
designed for the outcomes you're chasing, not for its own elegance.
Ownership, quality standards, privacy, and access:
the rules that make data trustworthy and defensible as it scales.
- 04
A monetization view
Where your data could create new value (better decisions, new offerings, sharper operations), prioritized by feasibility and payoff.
- 05
A sequenced roadmap
The order of work that builds toward the target without boiling the ocean, funded in stages against value.
How we work
How the engagement runs
- 01
Inventory
We map what data you have, its quality, and its risk, so the strategy rests on the real landscape rather than an idealized one.
- 02
Architect
We design the target architecture and governance model around the business outcomes data is meant to serve.
- 03
Activate
We sequence the roadmap so data starts creating value early (in decisions, offerings, and operations), not only after a multi-year rebuild.
Questions
Frequently asked questions
- Do you implement the data platform?
- We set the strategy, architecture, and governance, and can guide the build alongside your engineering team or partners. The value we own is the decisions (what to build and why), not swinging every hammer.
- What does 'monetization' mean here?
- Not necessarily selling data. It's using data to create value (sharper decisions, better operations, new offerings), and being honest about where that payoff is real versus where it's a slide.
- How is a data strategy engagement scoped?
- Around the decision, not a package. We agree what has to be answered, what evidence that takes, and how long it should run: then quote that. A first call is a scoping call, with no obligation and no packaged pitch, and the quote is free.
By sector
Sectors where this work applies
The sectors where data strategy consulting is most often the right first engagement, with the reason in each case.
- 06.5Gaming & interactiveHospitality & EntertainmentTurn player and engagement data into retention and monetization advantage.
- 06.6Sports & eventsHospitality & EntertainmentOwn the fan relationship and turn fan data into personalization and lifetime value.
- 02.5Payers & health insurersHealthcare & MedicalTurn claims and clinical data into a governed capability for risk and care management.
- 01.3Cloud & data infrastructureTechnology & ITArchitecture and governance decisions when data structure is the product itself.
- 03.5InsuranceFinance & InsuranceTurn data into sharper risk selection: the heart of the insurance model.
- 05.1Freight & logisticsTransportation & LogisticsTurn operational data into the visibility and pricing edge shippers now demand.
Related services
More services in Digital, Data & AI
- 02.6IT & software consultingSystems architecture, software selection, and implementation. Enterprise-level strategy holds.
- 02.7UI/UX consultingProduct experience and interface strategy. Premium strategy work still commands fees.
- 02.1Digital transformationRedesigning how a business operates around technology: digital transformation work that AI has multiplied demand for across nearly every industry.
- 02.2AI implementation consultingAdvising on AI tool selection, integration, and ROI: the AI implementation consulting category growing faster than any other practice we run today.
Getting less from your data than it's worth?
Tell us where your data is scattered, risky, or underused. A first conversation is a scoping conversation: no obligation, no packaged pitch.
No obligation · a scoping conversation first