Data governance

Align business ownership, data policies and technical controls, connecting discovery, assessment, loss prevention, masking and auditing into continuous improvement.

Data security governance

Organize work around accountable owners and staged objectives, incorporating controls into routine changes, operational checks and improvement plans.

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Technical approach
  1. Governance ownership

    Decision, execution and coordination roles

  2. Data baseline

    Assets, classification and risks

  3. Control implementation

    Coordinated procedures and technical protection

  4. Continuous improvement

    Adjust using operational and review evidence

Key risks

  • Policies, catalogs and technical controls develop without shared accountability.
  • Delivery is not followed by ongoing operations and change management.
  • Assessment findings do not become tracked improvement plans.

Service scope

Ownership & policies

Define business, data and technical responsibilities for rules, approvals and incident coordination.

Phased improvement planning

Prioritize work using asset and risk findings, sequencing technical controls, procedures and dependencies.

Control coordination

Connect classifications with loss prevention, masking and auditing, with integration boundaries and validation methods.

Capability review & improvement

Assess gaps against an agreed capability model and update plans using remediation, operational records and reviews.

Delivery process

  1. Establish the baseline

    Define objectives, data scope and existing policies and controls.

  2. Plan improvements

    Agree priorities, responsibilities and stage verification criteria.

  3. Coordinate delivery

    Implement agreed rules, procedures and technical capabilities.

  4. Review & improve

    Review operational evidence and carry unresolved work into the next plan.

Deliverables

Scope, schedule and acceptance criteria are agreed following assessment.

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Deliverables to scope together

  • Governance baseline, responsibilities and improvement backlog
  • Phased roadmap and coordinated control design
  • Capability gap analysis and operational recommendations

Relevant environments

  • Enterprise data governance programs
  • Integrating existing capabilities
  • Governance capability gap assessments

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