Enterprise reporting, KPI dashboards and analytics engineering.
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§ Signs
Our data analytics services put reliable numbers in front of the people who make decisions. We combine analytics engineering with dbt and business intelligence with Power BI: modelled, tested data in your warehouse, and dashboards, reports and embedded analytics on top. We agree KPI definitions with your teams, model them once in star schemas, and secure them with row-level security so everyone reads the same figures. As a Microsoft partner, we connect Power BI to Snowflake, Databricks, Microsoft Fabric and Azure, and keep reports fast as data and usage grow.
Analytics problems are rarely about charts. They are about trust, definitions and the time it takes to get an answer.
Someone spends hours every week assembling the numbers before anyone can discuss them.
Teams bring different figures for the same KPI and spend the meeting reconciling them.
Plenty of reports exist, but people still ask analysts for one-off extracts.
A new question means a new data request, a new report and a long wait.
Your product needs reporting for customers, and building it in-house keeps slipping.
§ What we deliver
Choose an area to see the services in it.
Reports and KPI dashboards built on agreed definitions, for every team that needs them.
Power BIPower BIDAXPower QueryPower BI
dbt
Microsoft Fabric§ Proof
Featured case study
This sports intelligence platform is designed to deliver real-time sports data, advanced analytics, and a community-driven prediction ecosystem.
Read the case study
§ Approach
We agree the decisions, KPIs and audiences the analytics must serve.
You receive KPI catalogue and report plan
We connect the source systems behind your KPIs and load them into your warehouse or lakehouse with tested pipelines.
You receive Source inventory and working pipelines
Sources are modelled in dbt into tested, documented marts.
You receive Tested dbt marts with documentation
Power BI semantic models, reports and dashboards are built with users.
You receive Reviewed dashboards and semantic models
Security, workspaces, deployment and training are set up for each team.
You receive Deployed reports with RLS and user guides
We review how reports are used after launch, retire what nobody opens and add what people still ask for.
You receive Usage review and next-phase backlog
§ Tech stack
Power BIDAXPower QuerydbtMicrosoft Fabric
Azure Synapse AnalyticsAzure Data Factory§ Engagement models
A defined scope, timeline and deliverables, from design through go-live.
An agreed price for a clearly scoped implementation, such as a migration or a new warehouse.
Our engineers work under your contract, or as a subcontractor to consulting firms and system integrators.
Data engineers who join your team and work in your tools and processes.
Consultants and developers working remotely, with overlap in your working hours.
Architecture reviews, platform choices and design guidance for your own team.
Monitoring, incident handling and ongoing fixes for pipelines and databases in production.
A short, fixed-scope engagement to test an approach on your data or plan a migration.
§ FAQs
Analytics engineering with dbt (transformation, modelling, testing, documentation and CI/CD) and business intelligence with Power BI (dashboards, semantic models, DAX optimisation, row-level security, deployment and embedded analytics).
Yes. We review semantic models, DAX, Power Query and storage modes, fix performance problems, and put workspace and deployment management in place.
Business logic in tested, version-controlled dbt models is reused by every report and checked on every run, instead of being repeated and drifting inside individual reports.
Snowflake, Databricks, Microsoft Fabric, Azure and SQL Server.
Yes. We build embedded analytics with Power BI so your customers or staff see reports inside your application.
Usually within the first few weeks, once the main KPIs are agreed and their sources are connected. We would rather ship one trusted dashboard early than ten later.
Yes. We publish certified semantic models so analysts and business users can build their own reports on trusted data, with security applied automatically.
Where the decision needs it. Most KPIs are fine with scheduled refreshes; operational views can use DirectQuery, Direct Lake or streaming sources.
Power BI's Copilot and Q&A features can answer questions in plain language when the semantic model is well designed. We prepare models with clear names and descriptions so those features give sensible answers.
A defined set of dashboards can be fixed price. Ongoing reporting and analytics engineering suit time and materials or a dedicated analyst-engineer. We estimate after a discovery call.
§ In detail
Each KPI with its definition, owner, source and calculation, agreed once and used everywhere.
Tested, documented dbt marts that every report reads from.
Executive, operational and self-service reports in Power BI, designed with the people who use them.
Row-level security, governed workspaces and certified datasets.
Reports inside your own product or portal where customers or partners need them.
Short guides and walkthroughs so people know what each report answers.
We ask what decisions the numbers support before choosing visuals.
A first useful dashboard early, then improvements every few weeks.
Your analysts help shape the models and take over day-to-day changes.
We check usage after launch and adjust, rather than assuming a report is used.
Event and performance data turned into analytics products, as in our TipRadar sports analytics work.
Sales, margin, stock and campaign performance in one view.
Management information, portfolio and risk reporting with secure access by team.
Operational and engagement reporting with identifiable data restricted, in line with UK GDPR and the Data Protection Act 2018.
§ Contact
Tell us which decisions you want better numbers for.
