Build a trusted data platform where every team works from a single, governed source of truth — reliably, securely, and with measurable business impact.
Data is rarely the problem. Organisations already hold vast amounts of it. The challenge is that it sits across disconnected systems, pipelines, and reporting tools — making it difficult to trust, slow to act on, and expensive to maintain. Microsoft Fabric changes that equation. But real value doesn't come from simply switching on a new platform. It comes from designing the right architecture, embedding governance from the start, and ensuring that Power BI reports reflect a single, reliable version of the truth.
At BearingPoint, we help organisations consolidate their data estates to integrated, build production-grade analytics on Microsoft Fabric, and surface insight through Power BI that people actually use —with the right roadmap, the right governance, and the right operating model to scale with confidence. We bring deep experience across Irish public sector, financial services, retail, manufacturing, aviation, and heath services — meaning we understand the compliance, integration, and governance expectations your organisation actually faces.
We also support organisations through the broader data platform journey: from legacy reporting environments and siloed pipelines to a unified, AI-ready lakehouse on OneLake — designed to last, not just to demo: consolidating pipelines, unifying lakehouses, enabling self-service reporting, and proving the business case at every stage.
What we deliver
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1. Fabric & Analytics Strategy
- Data estate maturity assessment and gap analysis across current tooling, pipelines, and reporting
- Use case identification and prioritisation aligned to business outcomes and leadership priorities
- Business Value Assessment and phased roadmap to guide investment decisions at each stage
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2. Fabric Platform Architecture & OneLake Design
- Lakehouse architecture across Bronze, Silver, and Gold layers, designed for scale and maintainability
- OneLake workspace configuration for unified, governed data storage across workloads and teams
- Capacity planning, workspace design, and cost optimisation aligned to organisational requirements
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3. Data Engineering & Pipeline Build
- Ingestion and transformation pipelines using Dataflow Gen2, Data Factory, and Fabric Notebooks
- Migration from legacy warehouses, Azure Synapse, and on-premise data environments to Fabric
- Integration with Dynamics 365, ERP platforms, and third-party systems to centralise operational data
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4. Semantic Layer & Power BI Reporting
- Direct Lake semantic model design for high-performance, enterprise-grade Power BI reporting
- Standardised metrics and KPI definitions that drive consistent insight across the organisation
- Self-service analytics enablement for business teams, with appropriate governance guardrails in place
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5. Governance, Security & Compliance
- Role-based access control, row-level security, and workspace-level governance design
- Microsoft Purview integration for data cataloguing, sensitivity classification, and lineage tracking
- Compliance-aligned data handling for regulated environments including financial services and public sector
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6. AI & Copilot Readiness
- Preparing data foundations for Copilot for Power BI and AI-driven analytics scenarios
- Data quality assessment and feature engineering pipelines to support AI workload enablement
- ML model integration and feature engineering pipelines within the Fabric ecosystem
- Alignment with the broader Microsoft Copilot and Azure AI ecosystem where relevant
- Building bespoke AI workloads with AI Foundry in Fabric to extend Copilot and AI capabilities
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7. Adoption & Enablement
- Role-based training and upskilling programmes for data engineers, analysts, and business users
- Centre of Excellence (CoE) design and operating model to sustain capability beyond initial delivery
- Playbooks and coaching to move teams from early adoption to confident, embedded use
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8. Managed Services & Continuous Improvement
- Ongoing platform monitoring, performance management, and capacity optimisation
- Governance reviews and policy updates as platform usage and business needs evolve
- Managed service options for organisations without in-house Fabric or Power BI expertise
How we work (end-to-end)
- Assess — current data estate, architecture maturity, governance gaps, and Fabric readiness
- Design — lakehouse architecture, use case prioritisation, semantic model structure, and adoption plan
- Build & pilot — phased delivery starting from highest-value use cases; apply learnings before scaling
- Run & optimise — monitor platform health, report usage, and continuously improve models, pipelines, and governance
Typical outcomes
- A unified, governed data platform that reduces duplication and significantly improves data trust
- Power BI reports that reflect a single, consistent version of the truth across the organisation
- Faster time-to-insight through consolidated pipelines and optimised Direct Lake reporting
- Stronger audit readiness and compliance confidence, particularly in regulated sectors
- A data estate ready to support AI and Copilot capabilities as requirements evolve
- Reduced total cost of ownership versus maintaining separate data engineering and BI tooling
Microsoft Fabric & Power BI FAQs
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1. What is Microsoft Fabric?
An end-to-end analytics platform that brings data engineering, data warehousing, real-time intelligence, and Power BI together under a single, unified environment — built on OneLake as a shared data foundation.
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2. How is Fabric different from what we already have in Azure or Power BI?
Fabric consolidates capabilities that were previously spread across Azure Synapse, Data Factory, and Power BI Premium into one integrated platform. If your organisation already uses Power BI, Fabric extends what you have rather than replacing it — with significant gains in pipeline efficiency and report performance.
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3. Do we need to replace our entire data infrastructure to move to Fabric?
Not necessarily. We assess your existing estate and design a migration path proportionate to your priorities — whether that means a full transition or a phased adoption alongside current tooling.
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4. What is Power BI and how does it fit within Microsoft Fabric?
Power BI is Microsoft's business intelligence and data visualisation platform, used to build interactive reports and dashboards that help organisations understand and act on their data. Within Microsoft Fabric, Power BI is the reporting and analytics layer — meaning your Fabric data pipelines and lakehouse feed directly into Power BI without the need for additional data movement or duplication.
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5. How quickly can we see value from a Fabric engagement?
Our Fabric Readiness Assessment can be completed in a matter of weeks, and our Fabric Quick Start engagements are designed to deliver a working pilot on a defined use case — providing leadership with confidence before broader investment is committed.
Would you like more information?
If you want to get more information about this subject please get in touch with our experts who would be pleased to hear from you.
