Data Architecture & Modelling / PowerBI

The Data Architecture and Modelling service helps your business to achieve a robust Power BI / Fabric semantic model that is:

• Fast — aggregated at the right grain, with clean relationships
• Accurate — single source of truth, consistent definitions across every report
• Maintainable — easy to extend without breaking what's already live
• Self-documenting — clear naming conventions, a data dictionary, and a relationship map

This is done through 3 main steps:

1. Business needs analysis: a structured analysis of your business' needs:
   - What data is available?
   - What decisions do your stakeholders need to make?
   - What metrics / KPIs matter?
2. Semantic model outlining and build: based on the available data sources and on the results of the business needs analysis, a semantic model is built
3. Guided User Acceptance Tests and validation: by using the testing plan that will be provided, the semantic model will be validated with your SMEs (Subject Matter Experts) to ensure the correctness of the KPIs

What will you get:

• Entity-relationship diagrams (current state and target state)
• Dimensional model design (star or snowflake schema)
• Semantic layer specification (Power BI or Microsoft Fabric)
• Data dictionary — tables, columns, and measures fully documented
• Naming convention guide
• Relationship strategy and cardinality documentation
• Physical implementation (tables, views, stored procedures)
• Power BI dataset / semantic model build-out
• Testing plan and test cases for the User Acceptance Tests

Who is this service for:

• Organisations building their first data warehouse
• Teams whose Power BI reports are slow, unreliable, or hard to maintain
• Companies migrating from legacy reporting tools to a modern BI platform
• Architects who want a second opinion on an existing model design