Data governance
Make the data clear enough to decide, automate and develop AI.
IKNSA organises ownership, quality, reference data and traceability around the business uses that genuinely justify the governance effort.
Engineering trajectoryDesign · build · hand over
- Decision
- Architecture
- Delivery
- Operations
The decision point
A piece of data becomes governed when a responsibility and a decision rule are attached to it.
The set-up selects the critical domains and elements according to the uses: reporting, operations, compliance, customer exchange or AI use cases. Controls are built into existing flows and responsibilities to produce observable improvement rather than an inventory with no effect.
Working scope
The dimensions examined together.
The framing avoids treating separately subjects that condition one another. The final scope remains adapted to the organisation and its priorities.
- Data domains and priority uses
- Owners, stewards and decisions
- Quality, thresholds and anomaly handling
- Reference data, identifiers and synchronisation
- Traceability, access and lifecycle
- Platform, BI and preparing AI use cases
A usable result
Governance proportionate to the decisions it secures.
The target model names the critical data, its owners and the expected controls. It orders the platform and quality workstreams by value, risk and the business teams' real capacity to carry them.
- 01Map of domains and priority use cases
- 02Responsibility matrix and decision rules
- 03Quality dashboard with thresholds and remediations
- 04Data trajectory, platform and AI preparation
Method
An engagement that stays readable from scope to decision.
Qualify
Connect the need to the processes, the users, the dependencies and the success criteria.
Design
Arbitrate the architecture, the responsibilities, the risks and the trajectory before committing to delivery.
Implement
Deliver in controlled stages with acceptance criteria, evidence and regular visibility.
Hand over
Document operations, decisions and reversibility to avoid any implicit dependency.
Point of vigilance
What the engagement must make explicit.
An exhaustive catalogue does not compensate for the absence of an owner or an arbitration rule. Governance must remain usable by the business and be measured on the quality of decisions and operations.
The first conversation verifies the context, the level of urgency, the stakeholders and the output genuinely expected.
Frame this engagement See Applications & data Start with a guided assessmentFirst conversation
Let’s discuss the next point of control for your information system.
A project to frame, operations to take over, compliance to demonstrate? Describe the context. You will get a first considered reading — not a generic brochure.