Presentation on theme: "National Fraud Initiative – preparing for the future North West Auditors Forum 2014 Kevin Boon."— Presentation transcript:
National Fraud Initiative – preparing for the future North West Auditors Forum 2014 Kevin Boon
NFI – preparing for the future Pre NFI recap Data/Match Quality Smarter Working What’s new in NFI 2014/15 NFI and the Future –Other purposes –Fraud –Flexible matching –Application checker
Pre NFI recap
4 NFI: Key Facts Sophisticated batch data matching exercise designed to prevent and detect fraud Established in 1996 and undertaken every 2 years Incorporates England, Wales, Scotland and Northern Ireland Over 1,300 mandatory and voluntary participants provide 8,000 datasets In m data matches released (Recommended Filter Matches 15%) Over £1bn of fraud, error and overpayments identified to date
5 NFI Batch Data Matching: The Process Participating bodies submit specified data The NFI matches data within and between bodies, to identify anomalies The data matches are returns matches to participants Participants investigate matches, to establish fraud, error or other another cause The NFI Team feeds back the outcomes within the National Report
6 NFI Batch Data Matching: The Data Pot Blue BadgesConcessionary Travel Pass CreditorsCouncil TaxDWP & DDRI Deceased Persons Deferred PensionsElectoral Roll Fraud DataHousing Benefit Claimants Housing TenantsInsurance Claimants Market TradersOccupational Pensions Payroll Right To BuyPersonal Alcohol Licences Private Residential Care Homes Student LoansTaxi DriversUKBA Immigration Data Waiting Lists
7 The NFI Web Application The NFI is delivered via a specially developed web application designed to place the user in control of their investigation The Web Application Key Features Secure facility for submitting data and for distributing matches Hierarchal and controlled user access Case management control features Management information Online training programme Data quality assessment
NFI Cost Benefit per Organisation Type Type of mandatory body Number of bodies (across UK) 2012/2013 fee Average financial outcomes this reporting period London borough council33£4,150£1,534,167 Metropolitan borough council36£4,000£559,391 Unitary authority76£3,650£489,781 County council and fire authority62£3,750£376,443 District council228£2,100 - £2,300£94,238 Police body53£1,000£53,792 NHS organisation441£1,000£15,598 Other local government bodies65£1,000£4,639
Key Outcomes of the 2012/13 exercise - across England 9 £203 million in fraud and error was detected 571 prosecutions 120 people employed without the right to work in the UK were identified and as a result were dismissed or asked to resign 86 properties recovered for social landlords 21,396 blue badges and 78,443 concessionary travel passes cancelled
Duplicate creditors Data Quality is high priority (after Security) Why is it so important? Meeting specifications Poor data produces spurious matches Wasted time and effort Garbage in, garbage out Duplicate invoices
Data Quality Duplicate creditors How can you check Data Quality? Using Excel/IDEA Date sorting for completeness Numeric sorting and control totals for reasonableness Alpha sorting for completeness and rogue data/records Excel format checking Record count – truncation Gap detection for quality and completeness Duplicate invoices
14 Data Quality Early engagement of investigators Timing of follow up e.g. students Key reports Recommended matches Using NFI as case management system Filtering and sorting matches Visual sifting using vertical view Multiple match opening/closing Larger reports e.g. Creditors –Exporting –Filtering in Excel (guidance available) –Summary recording of outcomes Smarter working
What’s new for 2014/15?
16 Security Policy Move to SFIS PSN UPRNs Annual Council Tax SPD exercise Outcomes MI report separate Fraud and Error More match filters introduced Extending the vertical view quick tick function New Benefit ‘customer’ or ‘official’ error categories Improved search, navigation, export and shared comment facilities More efficient further information enquiry process for:- –Home Office immigration –Pensions –Students What’s new in 2014/15?
Other Purposes and The Cabinet Office NFI and the Future
18 The Future: Other purposes The Serious Crime Act 2007 gave powers to the Secretary of State to extend the purposes of data matching beyond fraud. Data matching through the NFI could help public bodies to reduce the significant levels of debt owed to them. Arrears matching could identify details of those with tenant arrears, court fines, parking notices, child support payments and student loans. Locating absconders. The powers were never enacted. However, the future looks better…..
19 The Future: The Cabinet office What the move to the Cabinet Office will mean for NFI:- –Transfer of mandatory powers before March 2015 –Updated Code of Data Matching Practice –Inherit existing powers –Extend mandatory participants (including government departments) –Legal power of Secretary of State to change purpose –Extension to error, debt/arrears recovery, maladministration, crimes other than fraud
Fraud and The Cabinet Office NFI and the Future
NFI Fraud Detection and Prevention 21 We intend to… “deploy the National Fraud Initiative more widely as a near real-time tool to enable data matching between departments, and between central and local government” We are developing services to also assist with fraud prevention The NFI has traditionally focussed on fraud detection
The Flexible Matching Service (FMS) NFI and the Future
23 The NFI flexible matching service is a powerful and sophisticated data matching engine that instantly identifies matches for counter-fraud investigation A new NFI web application has been built which includes a facility to create and manage data matching jobs and an interactive data submission wizard It can run batch data matching as stand-alone tasks at a time and frequency that suits your organisation’s operational requirements All existing NFI matching options are available to participants What is Flexible Matching?
24 What can The Flexible Matching Service be used for? Internal/Project Data Matching Participants upload data for internal matching only The datasets are only be matched to each other Optional data matching against the NFI core datasets Multi-Organisation Data Matching Regional data matching initiatives where a group of participants wish to submit data for local cross matching Optional data matching against the NFI core datasets
FMS: Existing Uses 25 Personal budgets Housing benefit to student loans Council Tax to Electoral Register Mortality Screening
The Application Checker NFI and the Future
An Overview of the Application Checker 27 Our new service that we are about to launch Matches applications on a record by record basis with instant results Designed to help prevent fraud at the point of application Prevents fraud getting into your systems by data matching against the core NFI data
Application Checker: Basic Principles 28 Payroll, Housing Benefit, Fraud Data and Immigration Data Matches Date of Birth AddressNames
29 Further Information Further information regarding the NFI can be found on our website.our website. Alternatively please contact the NFI team via NFI queriesNFI queries My contact details Kevin