Brimit helpt organisaties het potentieel van data en AI te benutten door oplossingen te leveren die operaties verbeteren, kosten verlagen en resultaten verbeteren—brancheoverschrijdend en over alle bedrijfsfuncties heen.
Brimit helpt organisaties het potentieel van data en AI te benutten door oplossingen te leveren die operaties verbeteren, kosten verlagen en resultaten verbeteren—brancheoverschrijdend en over alle bedrijfsfuncties heen.
WHAT WE DO
Defining audiences, decisions, leading and lagging KPIs, thresholds, owners, reporting frequency, and escalation paths. Each metric should have a purpose, a definition, an owner, and a known action when performance changes.
Building certified metrics, reusable measures, relationships, business-friendly terminology, row-level security, and data quality checks into a single governed layer. In Microsoft Fabric and Power BI, semantic models become the analytical foundation for dashboards, self-service analytics, and AI-enabled consumption—eliminating the duplicated logic that produces metric disputes.
Structuring executive dashboards, operational dashboards, functional reporting, and self-service analytics layers around user needs and decision context—not visual complexity. When standard Power BI visuals aren't sufficient, we use advanced components including Deneb for custom Vega and Vega-Lite visualizations.
Building BI environments with the same engineering discipline as software projects: semantic models and reports stored in Git, parallel development, controlled deployment pipelines, development and production workspaces, release approvals, and rollback options.
Migrating from Excel-heavy reporting, SSRS, Qlik, legacy data marts, and fragmented BI environments. Covers report rationalization, semantic model redesign, performance improvement, security review, and lifecycle management—without disrupting the management cadence that depends on existing reports.
Defining report ownership, certified data assets, change request process, usage analytics, naming conventions, deployment governance, and retirement rules. Paired with training, documentation, and iterative improvement to make BI part of the operating rhythm.
