How it works
From governance problem to usable outcome, one step at a time.
Each enabledat session guides a data steward through a structured data governance workflow. You bring the domain knowledge. enabledat helps you clarify the problem, classify the risk, identify the relevant data, and create an artefact that can support real work.
01
Choose where to start
Tell enabledat what you are working on. It can be a specific business decision you need to support, a data domain you are responsible for, or a specific term or rule you want to work through. enabledat confirms the starting point and guides you into the session.
02
enabledat proposes, you confirm or adjust
Based on your starting point, enabledat proposes the checks the business decision depends on, or the components of the rule you are working through. You confirm, adjust, or add what is missing. The reasoning starts from your domain knowledge, not from a generic template.
03
Identify the critical data
For each check or component, enabledat helps you identify the data elements it depends on. Each candidate is tested against clear criteria, so you can separate truly critical data from related fields that do not carry the same consequence. Nothing is added without a reason.
04
Classify the risk for each element
For each critical data element, enabledat helps you classify the kind of risk it carries. Is the value wrong, missing, or stale? That is a data quality risk. Is the meaning unclear or contested? That is a definitional risk. Is the method unclear or undocumented? That is a methodology risk. The risk classification determines what kind of work should happen next.
05
Receive a usable outcome
At the end of the session, you receive a structured result:
- A prioritised matrix of critical data elements
- A classified data quality rule
- A shared definition
- A procedure scaffold
Something you can read, present, and hand over to a stakeholder.
Why the workflow matters
Many data governance tasks fail because teams start with the wrong type of solution.
A data quality rule will not fix a definition problem.
A definition will not fix an undocumented method.
A policy will not fix unclear ownership.
enabledat helps data stewards slow down at the right moment, classify the problem, and choose the type of outcome that actually fits the situation.
What a session can produce
A session may produce:
- a prioritised view of critical data elements
- a classified data quality rule
- a shared business definition
- a procedure scaffold
- a list of assumptions and unresolved questions
- a clearer link between governance effort and business value
What the user controls
enabledat does not decide for the user. It structures the reasoning.
The data steward confirms:
- the business context
- the relevant process or decision
- the data elements involved
- the risk classification
- the final wording
- the artefact before it is used or shared
Go deeper
Explore the kinds of work an enabledat session supports: