Semantic Model & Row-Level Security (RLS) Foundation

Build trusted, reusable datasets that scale — securely

The challenge

Adoption is unclear

Usage is happening, but it is hard to see who is adopting what and where.

Behaviour change is unclear

Teams need clearer signals to see whether new ways of working are taking hold.

Impact becomes guesswork

Without evidence, it is harder to connect adoption activity to business outcomes.

What we do

We turn usage signals into a practical adoption analytics model, with leader-ready dashboards in Power BI.

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Step 1

Design the semantic model

Build a robust model that supports trusted reporting and reuse.

Step 2

Define KPI standards

Create clear metric definitions so teams report on the same numbers.

Step 3

Apply modelling best practices

Improve structure and performance so datasets can scale more reliably.

Step 4

Align RLS and access

Match security rules to your organisation structure and data needs.

You get

Typical outcomes

Semantic model design and build

A reusable model foundation for trusted reporting across teams.

Consistent KPIs across reports

Teams work from the same numbers across dashboards and reports.

Metric definitions and documentation

Clear KPI definitions that reduce confusion and rework.

Better performance and reuse

Reports run more reliably and datasets are easier to reuse.

RLS strategy and implementation

Practical access rules that control who sees which data.

Clear “who sees what” governance

Data access is easier to manage, explain and control.

Ideal for

Copilot and Teams
rollouts at scale

Best suited to large rollouts where adoption needs to be measured clearly.

Behaviour change
 programmes

Useful when change progress needs to be measured, understood and improved.

Data-backed 
scale decisions

Helps leaders decide where to invest, scale or adjust based on evidence.

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