Power BI & Microsoft Fabric consultancy
We are a UK Microsoft partner delivering business intelligence with Power BI and Microsoft Fabric: reporting people trust, a data platform that scales, and management information built from your Dynamics 365, finance and operational systems. Power BI solves the reporting problem for most businesses. Fabric earns its place when data integration, engineering, governance and scale are the real constraint.
Start with the decision. The architecture follows, and it is often smaller than expected.
Business intelligence services
InteliSense IT is a UK Microsoft partner. We design, build and support business intelligence on Power BI, and we implement Microsoft Fabric where a proper data platform is genuinely needed. Most engagements start with a reporting problem that someone senior no longer trusts.
Semantic models, agreed definitions, board and operational reporting, row-level security, refresh and workspace governance, and the handover that lets your own people maintain it. Includes rescuing report estates that grew without design.
Lakehouse and warehouse design, Data Factory pipelines, OneLake, Direct Lake models, capacity sizing and governance. We recommend Fabric when integration, volume or engineering demand it, and say so plainly when Power BI alone will do.
Reporting is only as good as the systems feeding it. We connect Dynamics 365 Business Central, Finance and Supply Chain, Dataverse, Azure and line-of-business data so one number survives the journey into the pack.
UK mid-market and enterprise organisations running Microsoft Dynamics 365, Azure or a mixed estate: finance directors who want a month-end pack that stops being argued about, operations leaders who need exceptions rather than totals, and IT leaders who have to make BI supportable and secure.
Because we start with the decision that is being made badly, not with a platform purchase. You get a clear recommendation on whether Power BI, Microsoft Fabric or simply better definitions will solve it, what it costs, and who owns the result afterwards. If the answer is smaller than you expected, we will tell you.
Sound familiar?
They ask why the figures never match, why the pack takes a day to build, and why the red number has been red since March.
Two people, two spreadsheets, and twenty minutes gone before anyone discusses the business.
One person exports, pastes and reconciles, and everyone hopes they are not on holiday.
The clearest sign nobody quite trusts what is on the screen.
So it gets looked at once, then quietly ignored.
The red number has been red for months and it is not anybody's job to fix it.
Where we start
Four steps, in this order. Plenty of reporting work finishes at step two, because the problem was never the technology.
Whose decision is it?
Reporting gets useful when it belongs to somebody with a job to do.
Where is cash pressure building?
Explore Finance and Supply ChainCFO dashboard
Financial overview and performance
Total revenue
£28.7m
+8.6% vs LY
Gross margin
32.4%
+2.1 pts vs LY
Operating profit
£6.2m
+12.7% vs LY
Cash balance
£14.3m
-4.3% vs LY
Revenue trend (monthly)
Cost by category
Profit and loss summary
| Metric | Actual | vs LY |
|---|---|---|
| Revenue | £28.7m | +8.6% |
| Cost of sales | £19.4m | +6.1% |
| Gross profit | £9.3m | +12.4% |
| Operating costs | £3.1m | +5.2% |
| Operating profit | £6.2m | +12.7% |
Working capital
Built-in intelligence
Once the definitions and the data are trusted, newer capability can shorten the gap between seeing something in a report and knowing what deserves attention.
Copilot can summarise a report, a page or a visual and answer questions grounded in the information already in Power BI, within whatever the person is allowed to see.
What this gives you
Availability
Swipe, drag or use the arrow keys to move between decisions.
These capabilities work best once the information underneath them is trusted. Where the requirement moves into prediction, custom AI, wider agent design or decisions spanning several platforms, that becomes a broader Data and AI conversation. Explore Data & AI
See it in action
Short walkthroughs of Power BI in practice, from data cleansing to merging datasets. Nothing loads until you press play.
Microsoft Fabric
Microsoft Fabric is Microsoft’s end-to-end analytics platform. It gives data professionals and business users a single environment to ingest, store, process and analyse data, rather than relying on separate tools and disconnected data platforms.
Microsoft Fabric brings data integration, engineering, analytics, AI and business intelligence into one unified platform. Different Fabric experiences are designed for different types of data work, but they operate together on the same shared data foundation.
Build and prepare the data foundation. Microsoft Fabric Data Engineering helps teams collect, organise, process and transform large volumes of data. It supports lakehouses, notebooks, Spark jobs and pipelines so data can be prepared for analytics, reporting and AI.
Best for:
Lakehouses · Data transformation · Spark · Notebooks · Large-scale data processing
Connect, move and transform data at scale. Data Factory brings together data from databases, files, cloud services and on-premises systems. It supports data movement, orchestration and transformation, helping organisations turn fragmented data into information that is ready for analytics.
Best for:
Data integration · ETL/ELT · Pipelines · Data movement · Workflow orchestration
Turn data into predictions and intelligent insight. Fabric Data Science provides an end-to-end environment for exploring and preparing data, training machine-learning models, tracking experiments, scoring models and making predictive insights available to the wider business.
Best for:
Machine learning · Predictive analytics · Model training · Experimentation · AI workflows
Create a governed SQL foundation for enterprise analytics. Fabric Data Warehouse provides an enterprise-scale relational warehouse built on a data lake foundation. It supports T-SQL, dimensional modelling, governed semantic models and high-performance analytics while integrating directly with OneLake and Power BI.
Best for:
Enterprise reporting · SQL analytics · Dimensional models · Data marts · Governed BI
Run operational data and analytics in the same platform. Fabric Databases support operational database workloads using SQL database and Cosmos DB capabilities. Organisations can manage transactional data while keeping it closely connected to analytics, engineering and AI experiences across Fabric.
Best for:
Operational applications · Transactional data · SQL · Cosmos DB · AI-enabled applications
Understand how your data is connected. Graph in Microsoft Fabric helps organisations model, visualise and analyse complex relationships across their data. It can uncover connections, dependencies and patterns that are difficult to identify using traditional relational analysis alone.
Best for:
Relationship analysis · Dependencies · Network analysis · Connected data · AI reasoning
Apply Fabric to industry-specific data challenges. Industry Solutions in Microsoft Fabric provide data capabilities designed around the requirements of particular sectors. These solutions help organisations integrate industry data, accelerate analytics and address sector-specific operational and data-management challenges.
Best for:
Industry data models · Sector-specific analytics · Accelerated implementation · Domain-focused insights
Give data business meaning. Fabric IQ provides a shared intelligence layer over organisational data. It brings together business entities, relationships, rules and semantic models so people and AI agents can understand data in the context of how the business actually operates. It can help create a common business language across data, analytics and AI.
Best for:
Business semantics · Ontologies · AI grounding · Data agents · Context-aware decision-making
Turn trusted data into decisions. Power BI is a core Microsoft Fabric workload for analytics and visualisation. It allows users to create reports, dashboards and semantic models, share insight across the organisation and interact with data through familiar business intelligence experiences.
Best for:
Dashboards · Reporting · KPIs · Semantic models · Business intelligence
How Fabric works
Bring together data from ERP, CRM, operational systems, files, cloud applications and other sources.
Use Data Factory and engineering tools to move, clean and prepare the data.
Use OneLake, Lakehouse or Warehouse depending on the type of data and analytical requirement.
Use SQL, notebooks, machine learning and real-time analytics to explore and understand the data.
Surface information through Power BI reports and dashboards.
Use real-time intelligence, AI and automation to respond to events and support faster decisions.
Why Microsoft Fabric?
OneLake provides a common data layer across Fabric workloads, reducing the need to maintain separate analytical data stores for every team or tool.
Fabric workloads operate on the same underlying data foundation, allowing engineering, science and BI teams to work with shared data rather than repeatedly copying it between systems.
Fabric supports data engineering, data science, machine learning, reporting and AI workflows in one managed platform.
Real-Time Intelligence can process and analyse streaming information so organisations can react to changes as they occur rather than waiting for scheduled reporting.
Data engineers, analysts, data scientists and business users can work in the same Fabric environment using experiences designed for their roles.
Fabric + Power BI
Microsoft Fabric provides the data integration, storage, engineering, science and real-time analytics capabilities behind the platform. Power BI then provides the reporting and visualisation layer used to consume that information across the organisation. Microsoft also supports Direct Lake, allowing Power BI to work directly with data stored in OneLake without duplicating that data into a separate semantic model.
Business Systems
Dynamics 365 · Business Central · CRM · Files · Operational Data
Microsoft Fabric
Data Factory → OneLake → Engineering → Warehouse → Data Science → Real-Time Intelligence
Power BI
Dashboards · KPIs · Analysis · Forecasting · Decision Support
Where Fabric can help
Bring data from different business systems into a common analytical environment.
Create a governed foundation for Power BI rather than building reports directly from disconnected source systems.
Clean, organise and govern business data before applying machine learning and AI.
Use Fabric Data Science to train, track and operationalise machine-learning models.
Use Real-Time Intelligence for scenarios such as IoT, manufacturing, system monitoring and operational events.
Use OneLake, Lakehouse and Warehouse capabilities to support different structured and unstructured analytical workloads.
Customer experience
The strongest evidence of how we work comes from the organisations we work with.
80%
of our business comes from existing customers and referrals.
The best I’ve ever experienced in over 20 years of collaboration.
Programme Manager, Hill & Smith Plc
Before you call
A conversation, not a demo
Describe the decision it should support and where the data sits today. We will give you an honest view on whether that needs a report, a definition everyone signs up to, or genuinely a data platform.
