Releasing real-time data for a large government department.
Credera leveraged world-class expertise in big data to drive improved citizen experience via near real-time data integrations for the UK government.
At a Glance
Credera conducted a three-week review of an existing on-premises data platform that ultimately reduced a two-day process to two hours. We helped to create and implement a remediation plan that addressed concerns with the accessibility, usability, and trustworthiness of citizen data.
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 caused 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 get it approved at architecture governance forums.
Architecture review, sign-off, build, and migration.
Credera conducted a rapid architecture review of the existing on-premises platform, making recommendations and implementing those changes to shore it up while a new platform was built.
We began building a new Amazon Web Services (AWS) based platform, utilizing serverless technology such as AWS Lambda and Amazon S3, Amazon EMR, and employing government-grade security and encryption tools. We provided a full implementation service including architecture, project management, engineering, data migration, test, and change management.
We embedded our resources within client teams to support their transition to agile and DevOps culture and ensure a seamless handover.
Quality data available at a faster rate, supporting more rapid decision-making and improving citizen experience.
The impact on UK citizens was increased efficiency and better service.
On the old platform, it took two days to process new data; now it only takes two hours.
This was critical during the COVID-19 crisis to support accurate reporting and decision-making, and ensure resources were deployed to the areas most in need on a daily basis.
We ensured the report was available by 8 a.m. every day, including up-to-date data from midnight the previous night. We got great feedback from the teams using the new reports.
From a technical perspective, 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 the cloud, and this now forms the basis for a data mesh architecture being rolled out across the department.
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