Data-Powered Public Services
Episode 2 - The 3 principles for using data to detect and address fraud risk and error
Data is one of your most valuable assets and a key enabler for better citizen services. Used properly it can drive better outcomes, create efficiencies, and help you tackle complex issues like fraud.
What is data for really?
We need it for insight. But insight isn’t enough. Once we share it, we need actions and decisions based on that insight to achieve our important business or policy outcomes.
To realise that potential, you’ll need to create a data-driven culture and change the way you collect, leverage, and share data.
Our speakers explore how you can make that happen in their short videos within this series. See what they’ve got to say and please don’t hesitate to get in touch with them if you’d like to hear more.
Episode 2 - The 3 principles for using data to detect and address fraud risk and error
Melissa Franzetti, Assistant Director
Want to chat to Melissa? Just drop her a line.
The way fraud is tackled often relies on ageing solutions that are unfit for purpose because they lack data insight. That’s why data collection is central to effective, modern anti-fraud and error strategies. By analysing that data, you can create a solution capable of responding to ever-changing threats. Melissa explains that an effective solution must be both multifaced and agile. It must be capable of proactively predicting, preventing, and detecting fraud and error.
Meet the author
Eric Applewhite
Driven by a desire to make an impact, Eric analyses data with the aim of constructively transforming organisations in the North of England. His primary focus is the public sector. With a 25-year career it’s difficult to choose a specific highlight, but his work in New York is a period that he is particularly proud of. He integrated the city’s eight health and social care agencies using pioneering data analytics and collaboration. Another career highlight would have to be helping Greater Manchester establish a ground-breaking data-sharing body, named GM-Connect. The overall aim was (and still is) to identify people in the area that are most in need of support, whilst reducing the cost of public services using technology and interdisciplinary alliances. Eric is a proud husband and father to two half Geordie/half American children who are inspiring. He also loves history, travelling, and beekeeping (aspiring now - but with great ambitions for the future!).
