Cifas partners with leading data science specialists Mango Solutions
20 August, 2020 – London, UK – Cifas, the UK’s leading fraud prevention service, has entered into an innovative new partnership with Mango Solutions, a leading data science consultancy, to further enhance its intelligence capabilities for members and the wider fraud prevention community. As part of this new partnership, Mango Solutions will help Cifas build and enhance its existing intelligence capabilities, as well as further deepen its understanding of crime networks involved in fraud.
Cifas intelligence is used to identify fraud activity, organised crime networks and emerging fraud types, and is shared with Cifas members and law enforcement agencies to help detect, prevent and tackle fraud. By using Mango Solutions’ data science capabilities and expertise, Cifas will be able to utilise this intelligence more effectively and efficiently to help identify current and emerging fraud threats. Not only will this be data be used to inform Cifas members and the wider fraud prevention community, but also strengthen Cifas’ position as a compelling thought leader in the field of fraud, and influence its thinking and major decisions around fraud prevention.
Mango Solutions specialises in using advanced analysis to deliver value from data by enabling informed decision making and helping businesses build their data science capabilities. It is one of the largest data science consultancies of its kind in the UK, and is internationally recognised for its proven track record and expertise in data science and data engineering.
“Fraud continues to evolve and criminals are collaborating and moving at an alarming pace, and so it is crucial that we continue to innovate and remain in a strong position to tackle the ever-changing nature of fraud,” commented Nick Downing, Chief Intelligence Officer for Cifas. “Mango Solutions is at the cutting edge of data science and data engineering, and working together will not only help us to enhance our existing intelligence, but help us to really understand what the art of the possible could look like.”
“Thanks to the remarkable impact of data sharing and analysis, fraud loss prevention by Cifas members now exceeds £14 billion,” said Rich Pugh, co-founder and Chief Data Scientist at Mango Solutions. “To maintain this trajectory, we are thrilled to be working in partnership with Cifas to introduce data science initiatives that will add value for its members through reducing and ultimately preventing fraud. Initial key focus areas will include reducing the number of false positives to improve matching when searching the National Fraud database, improving Cifas members understanding of the data, and providing further intelligence based on data – such as emerging crime patterns.”
Cifas is an independent, not-for-profit membership organisation that protects businesses and individuals through effective and secure data and intelligence sharing between the private, public and third sectors. In 2019, Cifas member organisations prevented over £1.5 billion of fraud losses.
Cifas data is included in the Office of National Statistics England and Wales Crime Statistics of police recorded crime and works alongside law enforcement agencies in tackling fraud.
About Mango Solutions
Mango Solutions has been empowering organisations to make informed decisions using data science and advanced analytics since 2002. In addition to delivering data science projects for some of the world’s best-known companies, Mango also offers a comprehensive range of training and upskilling programmes for all user levels to help organisations build a successful data science capability internally.
Mango’s ‘Data Science Radar’ is one such software tool that allows organisations to build world class data science capabilities. It provides individuals, teams and managers with insight into the skills and abilities across six core data science attributes. The attributes have been devised by Mango Solutions as the ultimate core capabilities and skill sets that data scientists need in the organisations of today and tomorrow.
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