Technology expertise
Decinova structures your Power BI and Fabric environments with professional deployment pipelines, rigorous data governance, and ongoing operational maintenance.
Our Power BI & Fabric expertise
Power BI has evolved dramatically since its beginnings as a self-service visualisation tool. With its integration into Microsoft Fabric, it has become the analytics pillar of Microsoft's unified data platform.
This evolution creates new opportunities but also new challenges. Organisations that deployed Power BI organically now face governance gaps: duplicated datasets, inconsistent security, uncontrolled sprawl of workspaces and reports.
Decinova steps in to structure, professionalise, and maintain these environments. We bring software engineering best practices — CI/CD, version control, automated testing — to the Power BI and Fabric ecosystem.
Dataset, tabular model, and DAX measure maintenance. Refresh time optimisation, relationship management, model documentation.
Adaptive report maintenance, new visual creation, rendering performance optimisation, accessibility and mobile.
Deployment pipeline setup (Dev → Test → Prod), Git integration, Azure DevOps or GitHub Actions automation.
Workspace structuring, RLS (Row-Level Security), certified datasets, naming conventions, access audits.
CI/CD Power BI
In most organisations, Power BI deployment still comes down to clicking "Publish" from Power BI Desktop, straight to production. No versioning, no code review, no testing — and when something breaks, no clean way to roll back.
Decinova implements a professional workflow built on three pillars: the PBIP format (Power BI Project) which makes files versionable in Git, GitHub Actions for automated deployment, and Best Practice Analyzer for systematic quality checks.
The result: every change goes through a pull request, is peer-reviewed, is automatically tested (Best Practice Analyzer for DAX rules, data model checks), and deployed through a controlled pipeline.
Power BI deployment becomes as rigorous as software deployment. Code reviews, automated tests, rollback — DevOps practices applied to the BI world.
Governance
When an organisation exceeds 20-30 Power BI reports, governance problems inevitably appear: duplicated datasets, inconsistent security rules, orphaned reports, and performance issues that nobody can diagnose.
Decinova implements a governance framework tailored to your organisation. We structure workspaces by business domain, define naming conventions, certify reference datasets, and set up usage monitoring dashboards.
With the arrival of OneLake Security in Fabric, governance becomes even more centralised: security rules are defined once at the data level and propagate automatically to all consumption layers.
Architecture by business domain, Dev/Test/Prod separation, naming conventions, workspace documentation.
Dynamic Row-Level Security configuration, access auditing, Entra ID integration, OneLake Security (Fabric).
Identification of reference datasets, certification, promotion. One dataset = one source of truth per domain.
Usage dashboards (reports viewed, by whom, frequency), refresh time monitoring, performance alerts.
Microsoft Fabric · Unified platform
Fabric unifies Microsoft data services into a SaaS platform. Power BI is its analytics pillar, but the real power lies in the convergence of storage (OneLake), compute (Spark, SQL), real-time analytics, and AI.
Reporting, semantic models, DAX, paginated reports. The analytics core — and our historical expertise.
Ingestion pipelines, Dataflow Gen2, orchestration. The cloud successor to ADF and SSIS.
Spark Notebooks, Lakehouses, large-scale processing. Data engineering within Fabric.
Native SQL data warehouse in Fabric. T-SQL queries, views, procedures — no infrastructure.
Real-time ingestion, KQL, live dashboards. For IoT, monitoring, and alerting use cases.
Unified data lake, centralised security (OneLake Security), mirroring, shortcuts. La fondation de Fabric.
Power BI Premium was retired in January 2025. All Premium customers are migrating to Fabric capacities. If you haven't planned this transition yet, it's time to act.
Migration scenarios
Whether you're coming from SAP BO, SSIS, or a heterogeneous BI stack, we have the tools and experience to structure your migration to Fabric and Power BI.
Every migration starts with an audit (Pillar 01) that maps your existing estate. We identify what can be migrated automatically, what requires manual rework, and what should be decommissioned.
The approach is always progressive: wave-based migration, parallel run during transition, and controlled cutover. Production never stops.
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Let’s talk about your Power BI & Fabric environment
Whether you need to structure your workspaces, industrialise your deployments, or migrate to Fabric, we have the expertise and tools to help.