Turn fragmented enterprise data into decision-ready intelligence.
Turn fragmented enterprise data into decision-ready intelligence.
Most organizations are not short of data. They are short of a version of it that leaders trust, that arrives on time, and that answers the question being asked. We design and build the platform, the models and the reporting layer that close that gap — and we stay until the numbers are in use.
Problems we solve
What this practice is usually hired to fix.
Reports that take days and still get disputed
Month-end numbers assembled by hand from exports, with three teams holding three answers to the same question.
Core systems that nobody can report from
Billing, ERP and customer systems that hold the truth but were never designed to give it back at the speed the business needs.
Dashboards that no one opens
Reporting built around what was easy to extract rather than the decisions someone has to make on a Tuesday morning.
No foundation for AI
Ambitions for AI and automation stalling on the same problem: the data is not modelled, owned or fresh enough to act on.
Source to decision
From source systems to decisions — and back to action.
Select a stage to see what we build there and which technologies sit underneath.
One definition of every number that matters
Measures, dimensions and relationships expressed once, owned by named people, and reused by every report and every assistant. This is the layer that ends the arguments.
- Owned measure catalogue
- Tabular models with role-based security
- Retirement plan for extracts and shadow reports
Power BI semantic models, DAX, tabular, metric definitions
What we build
What we build, and what it is for.
Data platforms and lakehouses
Warehouse and lakehouse architectures on Microsoft Fabric, Azure, Databricks or SQL platforms, sized for what you run today and what you will run in three years.
Data engineering and integration
Reliable pipelines from ERP, billing, CRM and operational systems, with lineage, tests and monitoring so trust does not depend on one engineer.
Semantic models and governance
One definition of revenue, one definition of a customer, one definition of an outage — encoded in a model the whole organization reports from.
Executive and operational reporting
Power BI reporting designed around decisions: executive views that fit on one screen, operational views built for the people who act on them daily.
Technologies underneath
The tools, listed where they belong.
We are deliberately platform-fluent rather than platform-loyal. These are the technologies we work in most often; the choice among them is made with you, for your estate and your team.
Our experience spans legacy-to-modern migrations, Oracle Utilities CC&B and MDM, Power BI, Databricks, SQL and enterprise data modelling.
- Microsoft Fabric
- Azure
- Databricks
- SQL Server
- Oracle Database
What we measure
Every engagement in this practice reports against numbers like these — baselined at the start, tracked on the platform we build.
- Time from close to a trusted number
- Share of reports produced without manual assembly
- Number of competing definitions retired
- Freshness of operational data at the point of decision
Industries
Where this practice does its best work.
- Energy & utilitiesMeter-to-cash, outage and asset data that finance and operations can both trust.
- Financial servicesRisk, finance and customer data that stand up to regulators and to the board.
- TelecommunicationsSubscriber, network and revenue data unified for a business measured in real time.
- Government & public sectorService delivery and public finance data that citizens and ministers can both see working.
- ManufacturingPlant, supply chain and finance data in one model, so decisions stop waiting for the month to close.
- InsurancePolicy, claims and finance data that make underwriting and service faster and more consistent.
Tell us what you're trying to solve.
Bring us the reporting, process or system that is costing you the most. We will tell you within a short conversation whether this practice is the right place to start.