Data Modeling & Architecture

Star schemas, DAX measures, and semantic models built for speed and accuracy.

The foundation of every great Power BI solution is the data model. We design star schemas, write optimized DAX measures, build calculation groups, and create semantic models that are fast, maintainable, and trusted by your entire organization — eliminating the "my numbers don't match" problem.

Our Process

1

Data Source Analysis

Map all source systems, understand grain, cardinality, and data quality issues.

2

Schema Design

Design star schema with fact and dimension tables, relationships, and role-playing dimensions.

3

DAX Development

Write measures for KPIs, time intelligence, ranking, budgets, and variance analysis.

4

Validation & Documentation

Cross-validate numbers against source systems, document measures, and publish model.

Key Benefits

Single Source of Truth

One semantic model that every report references — consistent numbers across the organization.

Sub-Second Queries

Optimized star schema and DAX patterns that keep dashboards fast even with millions of rows.

Self-Service Ready

Well-documented measures and hierarchies that business users can explore without IT help.

Maintainable Architecture

Clean model design with naming conventions, folders, and documentation for long-term sustainability.

What's Included

Star schema and snowflake schema design
DAX measures and calculation groups
Time intelligence patterns (YTD, QTD, MTD, YoY)
Incremental refresh configuration
Composite models (Import + DirectQuery)
Model documentation and data dictionary

Frequently Asked Questions

What is a semantic model and why does it matter?

A semantic model (formerly called a dataset) is the layer between your raw data and your reports. It defines relationships, measures, and business logic. A well-designed semantic model ensures every report shows consistent, trustworthy numbers — and makes it easy for business users to build their own reports.

Can you optimize our existing model?

Yes. We audit existing models for performance issues (large tables, complex DAX, unnecessary columns), data quality problems, and design anti-patterns. Most models see 3-10x query speed improvement after optimization.

Do you support DirectQuery models?

Yes. We design DirectQuery and composite models when real-time data is required. We optimize the source database queries, configure aggregation tables, and set up hybrid tables to balance freshness with performance.

Build Your Data Model

Tell us about your requirements and we will get back to you within 24 hours with a tailored proposal.

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