UK GOVERNMENT

Releasing real-time data for a large government department.

Credera leveraged a world-class expertise in big data to drive improved citizen experience via near real-time data integrations for UK government.

At a glance

Citizen data for the service was not easily assessable, useable, or trusted both inside the department and by other government departments. Significant data quality issues existed, and a rapidly changing data model was causing a large degree of wasted effort and broken reports downstream. Credera conducted a three week review of an existing on-premise data platform, leading to the creation of a remediation plan which we then helped to implement.

The Challenge

Inefficient, unscalable and end-of-life analytics platform. 

Citizen data for the service was not easily assessable, useable, or trusted both inside the department and by other government departments. Significant data quality issues existed, and a rapidly changing data model was causing a large degree of wasted effort and broken reports downstream. The team and wider department did not have the required expertise to build a cutting edge cloud solution or to get it approved at architecture governance forums.

The Solution

Architecture review, sign-off, build, and migration.

Credera conducted a rapid architecture review of the existing on-premise platform, recommending and implementing recommendations to shore it up whilst a new platform was built.

We began building a new Amazon Web Services (AWS) based platform, utilising native serverless technology including government grade encryption. We provided a full implementation service including architecture, project management, engineering, test, and change management.

We embedded our resources within client teams to support their transition to Agile & DevOps culture and ensure that the hand-over was seamless.

The Results

Quality data available at a faster rate, supporting more rapid decision making and improving citizen experience.

Data availability increased from two days old to six hours old. This was critical during the COVID crisis to support accurate reporting and decision making, and ensured that resources were deployed to the areas most in need on a daily basis.

Moving to the cloud has enabled data scientists to run analytics faster and enhance their data models with modern programming languages.

Our combined supplier/client team proved the power of cloud, and this now forms the basis for a data mesh architecture being rolled out across the department.

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