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Data Strategy

Decide before you build.

Architecture reviews, data roadmaps, and the roles you need before you hire them.

Sometimes the decision is the deliverable.

Data Strategy · live signal

What this engagement looks like by the numbers

shipped

0

day median · strategy sprint

0+

stakeholder interviews · avg

0%

deliverable sign-off

Problems we solve

If any of these sound familiar, we can help.

What we build

The deliverables.

Architecture review

A forensic read of your current stack — what's working, what's bleeding, what's next.

Data roadmap

A 6-12 month plan sequenced by impact, not ambition.

Team structure design

The roles you actually need, in the order you need them.

Build vs. buy analysis

Vendor landscape, cost modelling, and a defensible decision.

Vendor selection

Run the evaluation. Draft the RFP. Close the contract.

Engagement models

Three ways to work together.

01

Strategy sprint

Two-week intensive: stakeholder interviews, architecture review, roadmap.

Cadence

  1. Day 1-3Stakeholder interviews
  2. Day 4-8Architecture audit
  3. Day 9-12Target-state design
  4. Day 13-14Written report + walkthrough
  • Full audit in 14 days
  • Written report + live walkthrough
  • Prioritized 90-day plan

02

Advisory retainer

Monthly touchpoints for guidance, architecture reviews, decision support.

Cadence

  1. Ongoing2-4 hrs/wk on-call
  2. MonthlySteering session
  3. Per PRArchitecture review
  4. QuarterlyRoadmap refresh
  • 2–4 hrs/week on-call
  • Monthly steering session
  • Async architecture reviews

03

Embedded advisor

Part-time role as your fractional head of data.

Cadence

  1. WeeklyTeam standup + review
  2. MonthlyBoard-level reporting
  3. OngoingHiring panels + coaching
  4. As neededVendor negotiations
  • Hiring panels
  • Board-level data reporting
  • Vendor negotiations

Tools we use

The toolbox.

dbtSnowflakeBigQueryDatabricksLooker

Not sure which fits?

30 minutes. We'll tell you honestlywhat's broken.