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Business Intelligence

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.