This month, we are thrilled to highlight the incredible success story of 'Traditional Medicinals' and how they leveraged the powerful capabilities of Power BI to revolutionise their data-driven decision-making process. By implementing Power BI, 'Traditional Medicinals' experienced a remarkable transformation in their ability to gain valuable insights and visualize crucial information.Unlock unified data at enterprise scale with Microsoft Fabric
Drive faster insights, reduce complexity, and embed trusted analytics into your organisation’s DNA.
Precision Point helps you adopt Microsoft FabricThanks with a business-first strategy aligned to your current Dynamics estate — not just technology alone.
Why Microsoft Fabric Matters (for your business)
Fabric brings a modern shift in data strategy by embedding OneLake as a single source of truth, reducing duplication and fragmentation across systems. Unlike siloed tools, it unifies data engineering, warehousing, analytics, real-time processing, AI, and data science in one platform, cutting movement and handoffs.
Governance, security, and policy are built in through Purview integration, ensuring compliance, trust, and transparency. With decoupled compute and storage, the platform delivers agile scale and cost efficiency, eliminating redundant infrastructure. Most importantly, Fabric enables modern decision-making with real-time intelligence and AI/ML integration, helping businesses move from descriptive to predictive insights.
The outcomes are tangible: faster time to insight through live dashboards, lower integration and duplication costs, stronger compliance and auditability, better alignment between IT and business teams, and the flexibility to evolve into new use cases such as AI and IoT.
Our Approach: From Strategy to Adoption
Here’s how Precision Point guides you through the journey of adopting Microsoft Fabric — in a manner that maximises value, minimises risk, and aligns with your Dynamics environment (ERP, Finance, BC).
| Phase | What we deliver | Outcome & Why it matters |
|---|---|---|
| 1. Discovery & Assessment | Current-state review, maturity assessment, data estate audit, business case & health check | You see gaps, opportunities, cost sensitivities, and alignment with strategic goals |
| 2. Strategy & Roadmap | Target architecture (landing zones, workspaces, security model), prioritised use cases, and adoption roadmap | A clear, phased plan aligned with capability, budget, and risk |
| 3. Pilot / Proof of Concept | Run a pilot to validate architecture, data pipelines, workspace models, and report integration | You prove value, gather feedback, and refine governance patterns |
| 4. Implementation & Migration | Build ingestion pipelines, migration of legacy systems, workspace setup, and role assignments | You shift authoritative data into Fabric with minimal disruption |
| 5. Governance & Best Practices | Metadata, data catalogue, policy templates, training, and change management | Your organisation can scale safely, with shared understanding |
| 6. Support, Monitoring & Evolution | Operational support, performance tuning, and new use-case enablement | You sustain momentum, extend value, and adapt to evolving analytics needs |
Throughout, we emphasise:
- Business alignment (tie to board / finance / operations metrics)
- Minimising disruption (phased, low-risk rollout)
- Change enablement (training, communications, adoption support)
- Integration with Dynamics / ERP (so your transactional systems and analytics estate work together)
We leverage Microsoft’s recommended adoption roadmap as a foundation. (Microsoft Learn)
We also apply lessons learned in production projects — e.g. avoiding common design pitfalls, managing cost, applying the right granularity for workspaces, and managing lineage complexity.
Why Choose our Microsoft Fabric Services
Your decision framework should include more than feature parity — here’s where we stand out:
- Deep Microsoft / Dynamics heritage
We bring decades of direct experience with Dynamics 365 ERP in Finance and Business Central. We don't treat data in isolation — we understand the business processes and the value levers. - End-to-end guidance
From strategy through operations, we offer full-spectrum support (design, build, govern, evolve). - UK-based delivery, global mindset
Our team is local (helping with culture, regulation, timezones) but follows global best practices. - Flexible — not one-size-fits-all
Whether you need a lightweight pilot or a full-scale enterprise rollout, our engagement scales to your maturity and ambition. - Long-term partnership mindset
We aim not just to “deliver & leave,” but to embed capability. Our support and enablement services keep you self-sufficient over time.
Power BI Services: FAQs
Q. Is Microsoft Fabric just Power BI renamed?
No. Fabric is a unified analytics platform combining data engineering, warehousing, real-time intelligence, data science, and analytics — not just visualization.
Q. Do we need Azure experience to adopt Fabric?
No, it’s delivered as SaaS. You don’t need to provision your own Azure infrastructure to start using it.
Q. What’s a good first use case / pilot?
Typical pilots include migrating one reporting domain (e.g. financial consolidation, sales analytics) or integrating a near-real-time feed (e.g. operations, logistics).
Q. How long does an adoption programme take?
From assessment to pilot, you can see meaningful results in 8–12 weeks. A full rollout for enterprise scale may span 6–12+ months, depending on complexity and change readiness.
Q. How do you manage cost / governance once live?
We implement monitoring, cost allocation, usage policies, quotas, and regular audits to ensure sustainable operations.
Q. Does it replace our data warehouse / BI toolset?
It can. But adoption can be phased: you may keep some legacy systems while gradually transitioning to Fabric workloads.
Next Steps
- Book a Discovery Call — Let’s explore your data landscape, business goals, and see if Fabric is a fit.
- Run a Fabrics Assessment — We’ll map your current state and produce a strategic roadmap.
- Pilot in Action — Test a representative use case, prove value, and refine the model.
