Business intelligence consulting
Business intelligence consulting designs star-schema data models, centralized metrics, and analytics architectures that transform scattered operational data into consistent, trustworthy reporting — built for scale and long-term maintainability.
Analytics architecture principles
Sustainable BI starts with clear data relationships and a single definition for each metric — not duplicated logic spread across spreadsheets and report files.
- Star-schema design with fact and dimension tables
- Centralized DAX measures instead of scattered calculated columns
- Reusable Power Query transformations for cleaning and shaping
- Calendar tables and time intelligence for consistent period comparisons
- Documentation that outlasts any single analyst or consultant
Data modeling approach
We redesign business logic using modern analytics practices — simplifying redundant calculations, eliminating lookup-heavy spreadsheets, and building models your team can extend without breaking production reports.
- Audit existing models, metrics, and data sources
- Separate transformation logic (Power Query) from analytical logic (DAX)
- Establish relationships instead of VLOOKUP-style dependencies
- Validate data quality and refresh reliability before go-live
Frequently asked questions
- What is business intelligence consulting?
Business intelligence consulting designs the data architecture, metrics layer, and reporting systems that transform raw operational data into consistent, trustworthy analytics across your organization.
- What is a star-schema data model?
A star schema organizes data into fact tables (measurable events like sales or shipments) and dimension tables (context like customers, products, dates). This structure optimizes query performance and simplifies metric definitions.
- Can you fix an existing broken BI setup?
Yes. Protimize regularly audits existing Power BI and Looker Studio environments — consolidating duplicated metrics, fixing relationships, and restructuring models for performance and maintainability.
- Do you use DAX or calculated fields?
We centralize business logic in DAX measures rather than calculated columns, following best practices for performance, maintainability, and single-source-of-truth metrics.

