GOVERNANCE · MEASUREMENT · ACTIVATION
Data Strategy
A data strategy that survives contact with the team that has to run it.
A data strategy engagement defines what is worth measuring, who owns it, and how it gets used. The output is a governance model, a measurement framework, and an activation plan tied to revenue, not a dashboard wishlist.
Outcomes
Metrics tied to decisions
Every metric in the framework points to a real action a real person takes. The rest get cut.
Governance that holds
Owners, definitions, and SLAs documented in one place. Disputes resolved by reading the doc, not by the loudest voice in the room.
Activation as a first-class step
Data leaves the warehouse and shows up in product, marketing, and sales workflows on a schedule, not on request.
A path off vanity metrics
Reporting reframed around input metrics teams can move, instead of output metrics no one can directly affect.
How the engagement runs
Listening tour
Interview leadership, marketing, product, finance, and a sample of operators. Surface the questions the data is actually being asked, and the questions it should be asked.
Measurement framework
Map north-star, input, and guardrail metrics to revenue and to the teams that move them. Cut the metrics no one can act on.
Governance model
Owners, definitions, freshness SLAs, and a change-control process. A data dictionary your team will actually open.
Activation plan
Define how data lands in marketing, product, and sales workflows. Reverse ETL, audience syncs, and in-product surfaces with named cadences.
Roadmap and rollout
A phased plan with quick wins surfaced first and the heavier lifts sequenced behind them. Quarterly review cadence set up before I leave.
What you get
- Stakeholder map with the decisions to inform
- Measurement framework with north-star, input, and guardrail metrics
- Data dictionary covering definitions, owners, and freshness SLAs
- Activation plan with named workflows and cadences
- Phased rollout sequence with quick wins identified
- Quarterly review cadence and template
Where this work has shipped
Selected programs. Names listed with permission.
Vodafone Italy
CDP Strategy & Implementation
Unipol
Real-Time CDP Data Modeling
EdenViaggi
Personalization & Data Enrichment
Sky Italy
Tag Management & Cross-Platform Tracking
Common questions
What is the difference between data strategy and analytics?
Analytics answers questions. Data strategy decides which questions are worth answering, who owns the answers, and how they end up in a workflow. Without strategy, analytics teams ship dashboards no one opens.
Do you write SQL or build dashboards?
Not as the deliverable. The engagement defines what to build and who builds it. If the team needs hands-on help producing the first reference dashboards, that gets scoped as a follow-on rather than rolled into the strategy fee.
Will the strategy work for our warehouse setup?
Yes. The framework is warehouse-agnostic and travels cleanly across BigQuery, Snowflake, Redshift, and Postgres-shaped mid-market setups. The governance and activation patterns stay the same; the implementation details adapt.
Who needs to be in the room for this to work?
A senior owner who can resolve cross-functional disputes, plus marketing, product, finance, and data leads. Without that owner, the strategy stalls in committee. Naming them early is part of the engagement design.
How do you handle data that lives in spreadsheets?
Honestly. Some of it gets brought into the warehouse on a schedule, some of it stays in spreadsheets but with an owner and a freshness rule, and some of it gets retired. Forcing every spreadsheet into a pipeline is how strategy projects collapse under their own weight.
What is the smallest version of this engagement that still produces value?
A focused listening tour plus a measurement framework. That alone gives leadership a defensible answer to "what are we actually measuring and why," and surfaces the highest-leverage gaps. Everything else (governance, activation, rollout) layers on top.
Want to see if this fits?
A short intro call to talk through scope, the questions you are carrying, and whether the work is a sensible match.