Our services

Data that works.
Services that keep delivering.

We connect your data, make performance understandable and automate recurring work. Start with a defined project or build a service that DIVU operates with you over time.

Three connected areas

From source data to useful work.

A reliable report needs a sound data foundation. A useful application needs a clear business purpose. We bring these pieces together and choose technology to fit the job.

Data foundations

Bring information from different systems into a consistent, checked view.

Analytics & reporting

Turn agreed measures into reports and analysis that support decisions.

Technology & automation

Connect systems and build applications that make recurring work easier.

Data foundations

Get the numbers onto common ground.

When files, systems and definitions disagree, every report starts with another reconciliation. We establish how data is collected, combined and checked.

01
  • Connect selected source systems, exports and business files.
  • Define key fields, business rules and ownership with your team.
  • Build repeatable data flows with checks for missing, duplicate or inconsistent records.

What you receive: a documented data flow, agreed definitions and visible quality exceptions.

Discuss your data foundation
Analytics & reporting

See what changed. Understand what matters.

We start with the decisions a report should support. Together we define the measures, comparisons and level of detail your team actually needs.

02
  • Design KPI models and management reports for finance, operations or commercial teams.
  • Build dashboards and analysis with clear definitions and traceable calculations.
  • Set up recurring delivery, with commentary and decision reviews where agreed.

What you receive: a usable performance view, documented measures and an agreed reporting rhythm.

Explore reporting as a service
Technology & automation

Make the process work end to end.

A workflow often crosses several tools and teams. We build the connections and applications that help it run, with checks and approvals where they are needed.

03
  • Connect systems through suitable interfaces and integrations.
  • Build focused business applications and prototypes around a defined workflow.
  • Automate repeatable steps and make exceptions visible to the right people.

What you receive: a functioning integration, application or workflow with documentation and agreed acceptance checks.

Discuss a technology project
Our lead recurring service

Reporting & Analytics as a Service.

Your team needs the next report, not another round of manual preparation. DIVU can set up the workflow, check the outputs and maintain the agreed service. The scope and operating commitments are defined together before delivery starts.

1. Refresh & check

Selected data arrives on the agreed schedule. Defined checks flag missing inputs, inconsistent totals and other exceptions.

2. Deliver & explain

Your team receives the agreed report or dashboard. Commentary, distribution and review meetings are included where scoped.

3. Maintain & improve

We handle agreed exceptions, maintain the solution and review which improvements belong in the next service cycle.

This is what we mean by service as software: you buy a defined recurring service. Software handles repeatable steps, AI can support suitable tasks, and DIVU takes responsibility for the agreed delivery.

A clear service agreement

Know what arrives. Know who owns it.

We define deliverables and responsibilities around your situation. Setup, ongoing delivery and material changes are scoped separately, with licence, infrastructure and model usage costs made clear.

Outputs & cadence

Which sources and measures are included, what is delivered, and when it is expected.

Operation & exceptions

Quality checks, responsibilities, service hours and the response process when something needs attention.

Change & continuity

Included improvements, approvals, documentation and how the service can be handed over.

AI where it helps. Checks where they matter.

AI can support extraction, classification or draft explanations. We select suitable tasks and agree how outputs are checked. Calculations, access permissions and business approvals remain explicitly defined.

Help your team use the result.

Data literacy and practical enablement are part of making a solution useful: understanding measures, interpreting results and knowing how to handle exceptions. Explore our Data Literacy MVP as one example of this work.

Explore our prototypes

Start with the work you want to improve.

Bring us a report, a data problem or a workflow. We will work with you to define a useful first step.