SS14 106 Kent Intelligence Network

<b>Background</b> Kent County Council (the Council) is the largest local authority in England covering an area of 3,500 square kilometres. It has an annual expenditure of over £1bn on goods and services and a population of 1.3m. The Council provides a wide range of personal and strategic services on behalf of its residents, operating in partnership with 12 district councils and 289 parish/town councils. The Counter Fraud Team (CFT) work within the Council's Internal Audit function and wish to establish a Kent wide, cross Local Authority (LA's) intelligence sharing and analytics partnership, with the shared objective to detect, prevent and deter fraud and corruption. Initially there would be 16 partners including Kent County Council, Kent Fire, Kent Police, Medway Council (Unitary), Tonbridge and Malling Borough Council, Gravesham Borough Council, Dover District Council, Maidstone Borough Council, Sevenoaks District Council, Dartford Borough Council, Ashford Borough Council, Canterbury City Council, Shepway District Council, Swale Borough Council, Thanet District Council and Tunbridge Wells Borough Council. Traditionally the Partners have not collaborated widely in relation to fraud prevention and detection, however they do work closely in certain areas including technology and information governance. In order to achieve this partnership, the Council will need to purchase a data analytics solution (software) that can analyse large datasets and identify anomalies that suggests fraud and/or error that require further investigation. The volumes of activity will be related to the number and size of datasets and frequency of matching. The datasets intended to be utilised from the outset and across the partnership include: - Council Tax (including Business Rates) - Social Housing Tenancy and Social Housing waiting list - Payroll - Transport passes and permits (including resident' parking, Blue Badges and concessionary travel) - Trade creditor payment history and standing data - Leisure memberships - Insurance claim data - Licenses (including market trader/operator, taxi driver and personal licences to supply alcohol) - Library Membership - Pension data - Companies House The intention is then to introduce new datasets such as: - Social Care - Grant data - Credit reference agencies - Higher Education providers - Charity commission - Public Sector (DWP, HMRC) In terms of frequency, the Council would like to match these datasets in a defined schedule of weekly and monthly matches. This will require data to be extracted locally by the partners and provided to the Council to match/analyse. The Council is looking for an externally hosted solution and will not be hosting any part of the solution, sof..(view full details to see more)

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