Data Strategy & Governance

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.

Rows of wooden card catalogue drawers
Why governance

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

  • 01Definitions that change by department. The same word means three different numbers.
  • 02Nobody owns the data that matters. Problems are found, but never fixed.
  • 03Audits answered by hand. Weeks of work to show who accessed what.
What gets set up

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.

  1. 01Data strategyPriorities tied to the numbers leadership manages by.
  2. 02Definitions and catalogueOne agreed definition for every key metric and entity.
  3. 03Ownership modelAn owner for every domain, with clear decision rights.
  4. 04Access and rolesLeast-privilege access for people, services and agents.
  5. 05Lineage and auditEvery change to data and schema recorded with its source.
  6. 06Quality rulesChecks and alerts on the data that drives decisions.
Example lineageMetric

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 financeEvery change recorded
How it runs

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.

Data domains
4 weeks
Value map and prioritiesWhich data matters most
Definitions and ownersAgreed with each domain
Access and rolesPeople, services and agents
Lineage and quality rulesRecorded and monitored
Catalogue liveOwned and in use
A sponsor in leadershipSettles disputed definitions.
Owners for the key domainsFinance, sales, operations and others.
Access to the main systemsTo trace lineage and test quality.
After set-up

Build on it, extend it or hand it over.

Related work

One version of the numbers.

All case studies
Questions

About data governance.

Where does the data stay?

In the client’s own cloud account, in the regions it chooses. Every access is logged.

How does it handle GDPR?

Personal data is mapped, minimised and deleted on schedule, with records of processing kept current.

Does governance slow teams down?

It removes the time spent arguing about numbers. Rules run in the platform, so teams do not wait for approvals.

Which tools does it need?

The catalogue and quality tools already in place where possible; otherwise open-standard options that run in the client’s cloud.

What does it cost?

Cost follows scope: the number of domains, the systems involved and the evidence auditors need. A proposal follows within a week of the first call.

Who owns what is built?

The client owns everything: source code, infrastructure as code, pipelines, models and documentation, handed over in full with training for the team.
More in Data & Cloud

Other Data & Cloud services.

Data & Cloud overview
Talk to us

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.

Data Strategy & Governance

Tell us where work gets stuck.

A senior engineer replies within one working day.

Interested in

Thirty-minute call

Pick a time.