Data foundations
Connect sources, agree definitions and make data quality visible. Build a dependable basis for reporting, automation and AI.
Explore data servicesData, Analytics & Technology. Enabled by AI.
DIVU connects your data, builds useful analytics and automates recurring work. We combine business understanding, technology and AI to deliver solutions your team can use—as a project or an ongoing service.
When information is scattered, numbers disagree or routine work takes too long, we connect the business problem with a practical solution.
Connect sources, agree definitions and make data quality visible. Build a dependable basis for reporting, automation and AI.
Explore data servicesBring performance, profitability and operational questions into clear reports, dashboards and analysis your team can act on.
Explore analyticsConnect systems, build useful applications and automate recurring workflows—with AI where it adds value.
Explore technology servicesExplore two examples of how we turn expertise into software. Each has a clear purpose and a visible development stage.
An application exploring how rail operations data, risk indicators and maintenance priorities can support operational decisions.
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An interactive starting point for reflecting on your approach to data and identifying areas to develop.
Explore the MVPAgree the information your team needs and when it needs it. We build the workflow, check the outputs and maintain the agreed service.
Selected sources and shared KPI definitions
A reporting calendar and visible quality checks
A named contact for issues and agreed changes
Documentation and clear operating responsibilities
Setup and ongoing delivery are scoped separately. Sources, cadence, support and changes are agreed before work begins.
Understand the decision, inspect the data and define the output and acceptance criteria.
Connect, implement and test the solution with the people who will use it.
Choose ongoing DIVU operation with agreed improvements, or a documented handover to your team.
Documentation, practical training and clear ownership help your team use and supervise the result.
Our published examples include shared profitability views, consolidated reporting and commercial analysis.
Consistent definitions across products and markets.
Shared measures and one view across regional teams.
Customer and sales patterns connected to decisions.
Bring us a recurring report, a data question or a technology challenge. We will help define a practical next step.