Metric stewardship
- Data product maps define ownership, approval paths, and escalation routes for high-value metrics.
- Stewardship scorecards surface health signals and SLA adherence for critical domains.
Business Intelligence & Analytics
Analytics programmes that scale with governance
We align analytics programmes around a shared semantic backbone and disciplined release practice. Teams gain governance without losing the speed required for modern decision-making.
Business Intelligence & Analytics contents
We align analytics programmes around a shared semantic backbone and disciplined release practice. Teams gain governance without losing the speed required for modern decision-making.
Analytics programmes that scale with governance
Governed analytics programmes without slowing delivery.
- 01Highlight 01
Federated metric catalogues backed by stewardship playbooks and lineage intelligence.
- 02Highlight 02
Promotion workflows integrating CI/CD, versioned data models, and automated documentation.
- 03Highlight 03
Enablement cadences coaching analysts, product owners, and executives on data fluency.
01
Semantic governance foundations
Anchor every KPI in clear ownership, lineage, and policy compliance so trust scales with demand.
Catalog & lineage
- Purview or Atlan connectors expose column-level lineage, glossary terms, and business context in one pane.
- API-first metadata services keep reports, datasets, and notebooks synchronised automatically.
Policy compliance
- Privacy classifications, retention schedules, and regional residency tracked continuously across assets.
- Audit-ready evidence generated for every promotion into controlled environments without manual effort.
Focus: Establish governance that keeps KPIs trustworthy without adding bottlenecks.
Outcome: Leaders rely on a common data language with provenance and compliance evidence on hand.
02
Automated release pipelines
Automate BI delivery so quality, security, and speed coexist from development through production.
Versioned models
- GitFlow templates manage data model branches, semantic diffs, and structured release notes.
- Automated regression tests validate measures, relationships, and refresh logic before promotion.
Deployment guardrails
- CI/CD integrates Fabric pipelines, Azure DevOps, and GitHub Actions with consistent approval stages.
- Policy checks embed security, finance, and product sign-offs without slowing delivery cadence.
Observability at launch
- Smoke tests and synthetic monitors validate critical reports immediately after release.
- Usage telemetry, error budgets, and adoption metrics instrumented from day one.
Focus: Automate release mechanics so reliability and pace reinforce each other.
Outcome: Programmes ship frequently with confidence, transparency, and clear traceability for auditors.
03
Enablement and change
Build the rhythms, skills, and communication cadences that keep BI evolving with the business.
Operating rhythm
- Release calendars, governance forums, and backlog triage align cross-functional teams on priorities.
- Portfolio reviews measure value delivered against strategic themes and funding models.
Capability uplift
- Role-based playbooks coach analysts, engineers, and leaders on new patterns and tools.
- Inner-source contributions encouraged through templates, code reviews, and mentoring circles.
Adoption services
- Communication packs, office hours, and concierge analytics convert stakeholders into advocates.
- Feedback-to-roadmap loops ensure business questions shape future increments confidently.
Focus: Uplift talent and rituals so BI operates like a product, not a project.
Outcome: Teams iterate with stakeholders continuously, preventing regressions to shadow analytics.
When Business Intelligence & Analytics lands right
Expect to experience:
- Analytics programmes stay compliant without becoming bottlenecks.
- Promotion cycles shrink from weeks to hours with audit-ready evidence.
- Teams speak the same data language and continue to improve post launch.
Let’s design the outcomes your stakeholders expect.