Semantic Layer Strategy & Adoption

Give dashboards, spreadsheets, and AI the same understanding of your business.

A semantic layer is not just a modeling project. Executives, domain owners, and data teams must agree on what critical metrics mean, where the logic belongs, who owns it, and how it changes.

I lead that work and help your technical team or implementation partner carry it through.

The hard part

The hard part is shared meaning

What does the business actually mean?

Revenue, churn, pipeline, retention, and customer health can each have several reasonable definitions.

Who owns the definition?

The data team can encode business logic, but it should not invent company policy.

What should be built first?

A semantic layer should begin with an important decision and a bounded business domain, not every metric the company has ever used.

How will people adopt it?

The work only creates value when dashboards, spreadsheets, workflows, and AI products actually use the governed definitions.

My role

What I lead

  • Identify the business decisions and use cases that justify the investment
  • Select the initial domain and priority metrics
  • Align executives and domain owners on definitions
  • Establish metric ownership and change governance
  • Clarify authoritative sources and required business context
  • Shape the pilot, implementation sequence, and acceptance criteria
  • Coordinate business stakeholders, data teams, and implementation partners
  • Lead adoption across reporting, self-service analytics, and AI workflows

Division of work

How execution works

Your team or implementation partners carry the specialized build. I work alongside them — leading priorities, decisions, and alignment.

Business leaders & domain owners

Bring:

  • Define the decisions that must improve
  • Resolve business meaning and policy
  • Assign accountable owners

Brian

Leads:

  • Lead alignment, priorities, governance, and sequencing
  • Translate executive intent into an executable data agenda
  • Keep business and technical teams working from the same plan

Data team & implementation partners

Execute:

  • Build models, pipelines, integrations, and technical controls
  • Test and deploy the semantic implementation
  • Support production usage

Start with Semantic Layer Readiness & Roadmap

This is a focused application of the four-week Opportunity Assessment. It identifies the priority decisions and metrics, current-state gaps, ownership model, best initial domain, and a sequenced pilot and rollout plan.

The output is useful whether your internal team implements it, you bring in a technical partner, or I continue leading the work.