ENTERPRISE GOVERNANCE · ROLES · ADOPTION

Control without blocking valuable self-service analytics.

We design enterprise governance for Power BI and Fabric: accountability, platform settings, security, standards, lifecycle management and the support model for users and delivery teams.

Roles, standards, security, lifecycle and support around a governed analytics environment.

Situations and scope of work

WHEN IT HELPS

Does this sound familiar?

  • Workspaces, permissions and sharing are growing without a common model.
  • Ownership of data, models, reports, cost and support is unclear.
  • Self-service analytics creates value but also duplication, risk and rising cost.
  • Tenant settings and Fabric capacity are managed reactively without agreed criteria.
  • The technology is live, but users lack the support, rules and capabilities required to use it well.

SCOPE OF WORK

What the engagement may include.

  1. 01

    Assessment of Power BI and Fabric tenant settings, risks and organisational requirements.

  2. 02

    Workspace, domain, role, ownership and accountability models.

  3. 03

    Security, sharing, classification, endorsement and certification of content.

  4. 04

    Design standards, naming, documentation and quality criteria.

  5. 05

    Development, test and production environments, version control and release lifecycle.

  6. 06

    Monitoring of usage, refreshes, Fabric capacity, quality and cost.

  7. 07

    Support model, mentoring, operational guidance, community of practice and adoption measures.

SOLUTION COMPONENTS

Governance as an operating model, not a list of restrictions.

Controls work when they have owners, can be measured and reflect how business and IT actually deliver analytics.

01

Accountability model

Roles, owners, permissions and decision paths for data, models, reports and the platform.

02

Controlled lifecycle

Standards, environments, quality gates, certification and monitoring from idea through production support.

03

Adoption and enablement

Support, mentoring, guidance and a community of practice embedded in the platform operating model.

OUTCOME

What remains after the engagement.

  • Lower risk and explicit accountability for the platform and published content.
  • A shorter path from business need to a trusted and secure solution.
  • Better visibility of usage, quality, capacity and cost.
  • A team able to use and evolve the platform according to shared rules.

NEXT STEP

Define the right scope.

Describe the current state and expected outcome. The first step may be an assessment, an architecture review or a focused implementation.

Contact ActiveCell Data