Services
Business Intelligence & Data Analytics Services
We work across four core areas of data and BI, from connecting your systems and building the right data foundations, through to delivering reporting your teams will actually use and making your data AI-ready. Some clients engage us across all four. Many come to us with a specific challenge in one area. Either way, we bring the same depth of expertise and the same practical approach.
Data & Application Integration
Most organisations have good data, it’s just scattered across too many systems. We connect to all of your sources and bring them into a single location, then go a step further by making your applications work together. When a record updates in one system, it updates everywhere. The result is a single, trusted view of your business, not a weekly reconciliation exercise.
Data Architecture & Engineering
Good BI starts with good foundations. We design and build data lakes, warehouses, and Lakehouse environments using Medallion Architecture, so raw data lands cleanly, gets transformed into something reliable, and arrives as business-ready datasets your teams can trust. We also define the semantic layer: the shared definitions of “customer”, “revenue”, and “performance” that stop different teams working from different numbers.
Interactive Dashboards & Reporting
We build Power BI reporting that people actually use. That means dashboards designed for the audience, board-level overviews, departmental performance views, and live operational tools, with role-based access, interactive drill-downs, and near real-time data. No more manual exports. No more waiting until Monday to see last week’s numbers.
AI Powered Insights & Analysis
AI works when your data is ready for it, connected, clean, and semantically modelled. We shape your data environment so AI tools can reason over it properly: enabling natural language querying, automated trend and anomaly detection, and AI agents that monitor and act on your data. The result is AI that delivers practical value, not just a demo.
How We Work
We are a friendly, capable team of technical experts who are passionate about understanding your business. When you work with us, you engage directly with the developers that will do the work for you, with just enough project management to keep everything on track.
We believe in short, regular communications with key stakeholders throughout the process. Our goal is to work as a seamless extension of your own business, whether that's a focused project to solve a specific challenge or an ongoing partnership where we act as your data and BI team, setting strategy quarterly and delivering week by week.
Most of our client relationships started with a proof-of-concept and grew from there. We bring experience from around 50 organisations across a wide range of industries, and that experience shapes every strategy conversation and every technical decision.
Our Technology Focus
We specialise in the Microsoft data stack, Power BI, Microsoft Fabric, Azure Databricks, and Azure Data Factory, complemented by Python, SQL, and REST API integration. We apply Medallion Architecture and Lakehouse/Warehouse design patterns as standard, ensuring data platforms are clean, scalable, and ready for AI from day one.
Lets Work Together
We’re always happy to talk about what we do, what you’d like to achieve, and answer any questions.
Let’s start with a proof-of-concept to show you how we’d solve your BI needs.
Frequently Asked Questions
What business intelligence and data analytics services does Insyte provide?
Insyte provides business intelligence and data analytics services across four core areas: data and application integration, data architecture and engineering, interactive dashboards and reporting, and AI-powered insights. These services help organisations connect their systems, improve reporting, create trusted data foundations and prepare their data for more advanced analytics and AI use cases.
How can business intelligence services help improve reporting?
Business intelligence services can improve reporting by connecting data from different systems and turning it into reliable dashboards, reports and datasets. This helps reduce manual exports, spreadsheet work and inconsistent numbers between teams. With clearer reporting, businesses can monitor performance more easily and make decisions based on trusted information.
Why is data integration important before building dashboards or AI tools?
Data integration is important because dashboards and AI tools need accurate, connected and consistent data to work properly. If information is scattered across different systems, teams may spend too much time reconciling numbers or working from incomplete reports. Connecting data sources creates a stronger foundation for reporting, analytics and AI-ready data.
What is the benefit of using Power BI reporting for business performance?
Power BI reporting helps businesses turn complex data into clear, interactive dashboards that different teams can use. It allows users to track KPIs, drill down into performance and access near real-time insights without relying on manual reports. This makes business performance easier to understand and act on.
How can AI-powered insights help a business use its data better?
AI-powered insights can help a business identify trends, anomalies and opportunities within its data more quickly. When the data is clean, connected and well structured, AI tools can support natural language queries, automated analysis and more proactive decision-making. This helps organisations move beyond basic reporting towards more intelligent data use.