Central and local government

TransUnion helps central government departments and local government organisations, like councils and housing associations, effectively use big data analytics and advanced customer experience solutions to engage with UK citizens and improve ROI.

Working directly, or as an approved third party, we provide an actionable and robust picture of consumers and their behaviours, focusing on lowering fraud risk, improving debt collection, and helping teams adopt and realise the benefits of data analytics.

Our consultancy and data science teams work on public sector projects at a national and local level. Examples include:

• working on digital ID verification to help secure online tax platforms
• using new and relevant data sources to improve debt collections
• configuring multilayered solutions to meet the Good Practice Guide (GPG) 45 and carry out identity checks that strengthen fraud detection whilst delivering seamless customer journeys
  

A global credit reference agency (CRA) with a track record of product innovation, we actively shape the conversation around the data ecosystem. Our Developing a Data Mindset submission was part of the Cabinet Office’s policy paper — Tackling Fraud in Government with Data Analytics — and our product development continually breaks new ground. We introduced the concept of consumer affordability to the market and are the first CRA to take in buy now, pay later data.

Public sector teams can access our services via the government’s G Cloud digital marketplace and debt resolution scheme (DRS), helping ensure a smooth procurement process.

TransUnion contributed to the Cabinet Office’s policy paper on the use of data and analytics to counter fraud. Published as part of a public consultation, the paper's objective was to ensure government continues to work with the public and private sector to build public confidence in the use of data, and explored topics such as data quality, access and analytical capability.

Read our contribution in which we outline the importance of developing and embedding a data mindset for preventing fraud.