# Data Strategy & Governance

> Twistag helps leadership decide which data matters, gives every key metric one definition and one owner, and sets up the access, lineage and quality rules…

Quality, lineage and access, defined once.

Twistag helps leadership decide which data matters, gives every key metric one definition and one owner, and sets up the access, lineage and quality rules that keep it true.

Starts with

A value map Every source ranked by what fixing it is worth

Privacy

GDPR by design Personal data mapped, minimised and deleted on schedule

Delivery

ISO 27001 practice Evidence ready for audits and procurement

When every team reports a different revenue figure, the debate is about the data, and the decision waits.

- 01 Definitions that change by department. The same word means three different numbers.

- 02 Nobody owns the data that matters. Problems are found, but never fixed.

- 03 Audits answered by hand. Weeks of work to show who accessed what.

## One definition, one owner, one set of rules.

Strategy and governance stay small and practical: the domains that matter most first, with rules the platform enforces automatically.

- 01 Data strategy Priorities tied to the numbers leadership manages by.

- 02 Definitions and catalogue One agreed definition for every key metric and entity.

- 03 Ownership model An owner for every domain, with clear decision rights.

- 04 Access and roles Least-privilege access for people, services and agents.

- 05 Lineage and audit Every change to data and schema recorded with its source.

- 06 Quality rules Checks and alerts on the data that drives decisions.

### Where net revenue comes from, and who reads it

Net revenue is built from ERP, web shop and store data through sales_model and returns_model, and read by the board report, the sales dashboard and the revenue agent.

One definition, owned by finance Every change recorded

## Four to eight weeks for the first domains.

Governance starts with the domains that drive the most decisions, then extends one domain at a time.

## Build on it, extend it or hand it over.

Pipelines and models that follow the agreed definitions automatically.

The same access and audit rules applied to every agent.

Catalogue, rules and ownership model handed to the data team.

## One version of the numbers.

## About data governance.

Where does the data stay?

How does it handle GDPR?

Does governance slow teams down?

Which tools does it need?

What does it cost?

Who owns what is built?

## Other Data & Cloud services.

## Let’s talk.

Tell us about the company and what it needs. A senior lead takes it from there.

A senior lead replies within one working day.

---

Source: https://twistag.com/data-cloud/data-strategy-governance