Data Strategy & Advisory
Most data programs fail at the start, not the end: the platform is chosen before the questions are known, and the roadmap is a list of tools. We start from the decisions the business needs to make, work back to the data and platform that supports them, and leave you with a plan your team can execute.
A data platform strategy and roadmap the business can fund, build and run.
Data Platform Strategy
Choose the right platform for the decisions you need to make — and know why.
Explore ›Data Platform Roadmap
A phased plan from today's data estate to the target platform, without a big bang.
Explore ›Data Methodology
The standards and ways of working that keep a data platform consistent as it grows.
Explore ›One loop, from the first opportunity to the running system.
- 01Identify
- 02Assess
- 03Strategize
- 04Architect
- 05Build
- 06Integrate
- 07Deploy
- 08Govern
- 09Operate
- 10Scale
- Scale feeds the next Identify — one team, every step
How an engagement runs.
- 01
Listen
Interviews with the people who make decisions and the people who maintain the data, so the strategy reflects both.
- 02
Assess
An honest inventory of sources, platforms, skills and spend — what works, what is duplicated, what is at risk.
- 03
Decide
A target architecture and operating model, with the trade-offs written down and the alternatives we rejected.
- 04
Sequence
A roadmap in fundable phases, each with a business outcome, an owner and a definition of done.