One of only a few hundred partners worldwide holding the Analytics on Microsoft Azure specialization. We bring first-mover depth in Microsoft Fabric, a design-led Power BI practice, and Azure data engineering, validated by an external Microsoft audit of our processes, security, and governance.
Most of the migrations we run start from one of four situations. None of them is really about the cloud bill, though that is usually how the conversation opens.
Power BI is already in the business while the warehouse sits somewhere else. Fabric brings the data and analytics layer together, while Direct Lake can let Power BI read data directly from OneLake without a traditional import copy.
Teams running Azure Synapse often find they are maintaining infrastructure to get reporting. A Synapse to Fabric move keeps the lakehouse pattern and drops most of the operational overhead.
Lineage, access control and sensitivity labelling inherit across Fabric workloads rather than being configured per tool, which shortens the distance between a policy and evidence that it holds.
Azure OpenAI and Copilot are only as good as what they can read. Teams move to Azure to get one governed copy of the data before they build anything on top of it.
The specialization is what gets us shortlisted. The Fabric and Power BI depth is what keeps the engagements going.
We backed Fabric before general availability and now hold published Fabric case studies that demonstrate how we apply it to real enterprise data and analytics needs.
Held by only top 1% partners worldwide, earned through certified teams, qualifying engagements and an independent Microsoft audit of our documentation, security and governance.
Power BI is where we go deepest, built by a dedicated in-house design team, so a dashboard reads clearly on the first open, before anyone has been trained on it.
Our Power BI custom visuals are published on Microsoft AppSource and used across the Power BI community, and our Azure accelerators cover the assessment and migration steps most engagements start with, so you customize a proven base.
We hold multiple Microsoft partnerships, backed by real enterprise delivery across cloud migration, data engineering, Microsoft Fabric, Power BI, and AI-ready analytics.
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Our Microsoft Credentials
Validated expertise in designing, deploying, and operating enterprise-scale analytics platforms on Azure.
Recognized for building governed data platforms, Microsoft Fabric implementations, Power BI analytics, and AI-ready data ecosystems on Azure.
Expertise in secure Azure cloud migration, modernization, governance, optimization, and managed infrastructure services.
Built to modernize legacy applications and develop scalable, cloud-native products using Azure services.
Scoped starting points for the Fabric and Power BI work most engagements open with, so the first result arrives in days rather than after a full discovery cycle.
A fast check of whether your data model is a fit for Fabric and where the value is, before any migration commitment.
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Take one of your existing dashboards and move its semantic model into the Fabric environment as a proven, scoped pilot.
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Stand up a governed Fabric foundation, with a lakehouse, ingestion pipelines, and security set up, as the base your analytics can build on.
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A hands-on Fabric enablement workshop, in the spirit of Microsoft’s X-in-a-Day training format.
Register for the workshopMost Azure bills carry three kinds of waste, which often go unnoticed until someone looks closely. We work across all three, helping teams reduce unnecessary cloud spend without compromising performance. On one Fabric migration, this brought storage and compute costs down by roughly 34% while queries ran 30% faster, showing how better architecture can improve both at once.
Size Fabric and Power BI capacity against the demand your workloads actually show over a month, then revisit after the first full billing cycle.
Pause or scale compute around real workload peaks so idle capacity stops appearing on the bill.
Direct Lake reporting and tuned DAX and semantic models bring cost and query time down together.
Focused on the Microsoft data and analytics stack, where our depth is real.
End-to-end Azure Fabric consulting: migration from Synapse and legacy BI, medallion architecture, OneLake as the single storage layer, Direct Lake reporting and governance. Our deepest Azure delivery experience.
Design-led Azure Power BI consulting: dashboard development, embedded analytics and enterprise rollouts, backed by Microsoft Marketplace custom visuals used across the community.
Workflow automation with Power Automate, plus Azure data engineering on Data Factory, Azure SQL and Azure Databricks, consolidating scattered sources into one trusted view.
Compute, security and governance and broader Azure managed services sit within our capability, scoped per project, with the shape set during discovery.
At NeenOpal, we deliver cloud solutions end-to-end, from architecture and migration to the day-to-day operations that keep your environment running seamlessly.
End-to-end AWS delivery covering cloud strategy, managed services, security hardening, and ongoing compliance.
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Ongoing cloud operations, monitoring, and optimization keeping your infrastructure secure, reliable, and cost-efficient.
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Migrating workloads and infrastructure to the cloud with minimal downtime and full architectural continuity.
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A dedicated Azure team takes ownership from assessment through architecture, migration, governance, and ongoing optimisation, with clear accountability across every stage of your cloud journey.
Discuss your Azure roadmap
Bring in Azure architects, data engineers, and cloud specialists to augment your existing team for migration, modernisation, security, FinOps, analytics, or platform initiatives where you need additional expertise or bandwidth.
Add Azure expertise to your team
Get a focused assessment of your Azure environment with a defined scope, timeline, deliverables, and cost upfront. Walk away with clear priorities and actionable recommendations for your next phase.
Get an Azure assessment estimateAnswers to the questions we hear most often, from scoping a first engagement to how our Fabric and Power BI delivery actually works.
NeenOpal is a Microsoft Solutions Partner with designations in Data & AI and Digital & App Innovation, and holds the Analytics on Azure specialization, earned by only a few hundred partners worldwide through certified teams, qualifying engagements, and an independent Microsoft audit.
Our active Azure delivery centres on Microsoft Fabric, Power BI and Power Automate, supported by Azure data engineering on services such as Data Factory and Azure SQL. Compute, security, governance, Copilot work and broader Azure managed services sit within our capability, scoped per project.
We were a first mover in Fabric, backing it before it reached general availability, and now hold real Fabric case studies, including work selected by Microsoft for joint publication, at a point when many partners are still starting out.
By right-sizing Fabric and Power BI workspaces to real demand, applying auto-pause and scheduling so idle capacity isn't billed, and designing efficient queries and models. On a recent Fabric migration, this cut storage and compute costs by roughly 34% while making queries 30% faster.
Yes. We migrate Synapse and other legacy BI workloads to Fabric on a medallion architecture with Direct Lake reporting, with an emphasis on zero data loss and minimal downtime, as in our published EdTech SaaS migration.
