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Data

HELPING A PUBLIC-SECTOR ORGANISATION ESTABLISH A REUSABLE COMMON DATA PLATFORM FOR PRIORITY DATA SERVICES.

Name: UBDS IT Consulting Limited
Price range: $

Overview

UBDS Digital supported a UK public-sector organisation in defining and delivering a Common Data Platform that addressed duplicated platform effort, manual processes and inconsistent delivery patterns. The work created a reusable Databricks and Terraform-based foundation for data engineering, analytics and future data services.

Key Services

Data & AI

Technologies

Databricks

Terraform

Lakehouse architecture

Common Data Platform

Infrastructure as code

Automated ETL pipelines

Geospatial data pipelines

Executive Summary

A REUSABLE COMMON DATA PLATFORM FOR PRIORITY DATA SERVICES.

UBDS Digital worked with a UK public-sector organisation to define and deliver a reusable Common Data Platform for multiple data-led services.

The client had teams solving similar data problems in different ways. Ingestion, transformation, reporting and data sharing patterns varied across services, which created duplicated effort and made platforms harder to maintain. Some processes still relied on manual file sharing or local execution, limiting how quickly teams could scale and reuse what had already been built.

UBDS Digital combined discovery, platform design and hands-on delivery to give the client a more consistent route for building data services. The result was a reusable Databricks-based platform pattern, supported by Terraform and shaped around real organisational use cases rather than a standalone technical design.

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The Challenge

FRAGMENTED APPROACHES WERE LIMITING CONSISTENCY AND REUSE.

The client had several data-led services facing the same underlying platform problems. Teams needed to ingest, transform, analyse and share data, but they were not always using common patterns to do it; instead, they used workarounds for the existing systems that didn't meet the user needs. That meant similar components were being designed and maintained separately across the organisation.

The impact was practical. Manual file sharing and locally run processes made pipelines harder to control. Different architecture choices increased support overhead. Services handling complex datasets, geospatial workflows and performance metrics needed a more reliable way to scale without rebuilding the same platform capability each time.

The client also needed a clearer foundation for data engineering, analytics, geospatial analysis and public-facing reporting. Without it, every new priority service risked adding another variation to an already fragmented landscape.

The Solution

CREATING A REUSABLE PLATFORM PATTERN SHAPED BY REAL DELIVERY NEEDS.

UBDS Digital helped the client move from separate service-level approaches towards a common platform pattern that could be reused across priority data services.

The work began with discovery. UBDS Digital reviewed the existing platform landscape, gathered stakeholder needs and assessed the technical, governance and strategic requirements for a shared data capability. This gave the client a clearer view of where common components could reduce duplication, and where individual services still needed flexibility.

From that work, UBDS Digital helped define a Lakehouse-based model with modular ingestion, transformation and consumption layers. The team then developed a reusable Databricks-based platform pattern, packaged with Terraform so environments could be deployed consistently across development, test and production workspaces.

The platform was not designed in isolation. It was applied to live priority use cases, including automated and orchestrated data pipelines that had previously relied on local execution and manual file exchange. It also supported complex geospatial workflows, scalable ingestion and management of performance metrics, and integration with front-end applications and reporting interfaces.

This gave the client a common pattern without forcing every service into the same shape. Teams could adopt shared platform components while still meeting the needs of their own datasets, users and reporting requirements.

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The Outcome

A COMMON FOUNDATION FOR SCALABLE DATA DELIVERY.

The client gained a clearer and more repeatable route for delivering data services.

The Common Data Platform reduced duplicated platform effort by giving teams a standard route to adoption. Four teams have already onboarded to the platform pattern, improving consistency, security and maintainability across participating services.

The work also delivered practical improvements across priority data services. Pipelines became more automated and easier to orchestrate. Platform environments could be deployed more consistently. Performance metrics could be ingested, managed and processed at greater scale.

By putting reusable components and clearer delivery patterns in place, UBDS Digital helped the client reduce rework and strengthen the platform choices behind future data services. New services no longer need to start from a blank page.