Semantic Model & Row-Level Security (RLS) Foundation
Build trusted, reusable datasets that scale — securely
The challenge
Metrics differ across reports
Teams see different KPI results, creating confusion and reporting rework.
Performance is uneven
Reports can be slow or inconsistent when models are not designed for reuse.
Access rules vary
“Who should see what” is handled inconsistently, increasing security risk.
What we do
We create a strong semantic model foundation with clear KPI definitions, modelling practices and RLS aligned to your organisation.
Design the semantic model
Build a robust model that supports trusted reporting and reuse.
Define KPI standards
Create clear metric definitions so teams report on the same numbers.
Apply modelling best practices
Improve structure and performance so datasets can scale more reliably.
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
Standardising reporting across business units
Useful when teams need shared definitions and more consistent reporting.
Power BI and Fabric at scale
Best suited to customers building reusable datasets for wider adoption.
Controlled access to data
Helps regulated environments manage secure access with clearer governance.
Ready to improve how your teams work?
