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    "publishedDate": "2025-02-25T13:28:25Z",
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            "id": "a939d9ce-7bff-483f-b80b-0ab088be7c10-830271",
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                "id": "SR1933153589",
                "title": "UCR Entity Resolution",
                "description": "The UCR Programme's remit is to match and link records for Individuals Personal Tax, for sole traders and organisations VAT, Self-Assessment and Employer Payrolls. \r\n(4 of HMRC's \r\nkey strategic heads of duty systems) to form a unique customer \r\nrecord.  \r\nThe Match Project, developed and deployed an in-house \r\nEnterprise Matching Tool (EMS) in November 2023.  Currently, \r\nthis capability allows for matching of individuals (without a \r\nbusiness interest i.e., excluding self-employed individuals) using \r\ndesignatory customer data along with the key internal identifiers \r\nassociated with the individual.  EMS Entity resolution does not \r\ncurrently support the complexities associated with matching \r\norganisational data.  Whilst, the in-house capability is able to link \r\nless complex customers/records relating to individuals using First \r\nName, Last Name, Business Name, Tax Identifier, Address, and \r\nDate of Birth.  The requirement for UCR's goes beyond this, not \r\nall heads of duty have an ID that can be linked across systems as \r\nis the case for organisational matching, sole proprietorships, \r\npartnerships.\r\nTo develop the in-house capability beyond individuals would \r\nrequire significant work to address the limited functional features \r\nand encryption enhancements needed.  That coupled with the \r\nsignificant cost to both run and maintain EMS no longer \r\nrepresents a return on investment.  These finding have recently \r\nbeen presented to Technical Design Authority and a decision \r\nendorsed to replace the Enterprise Matching Tool (EMS) with a \r\nSaaS Entity Resolution Tool.  Without an Entity Resolution \r\ncapability, we cannot reduce the incidents of low confident \r\nmatches, the associated risks and the impact of exceptions to \r\noperational areas.  \r\nA SaaS Entity Resolution Tool will address these complexities and \r\nleave behind a future proof strategic capability through the UCR \r\nProgramme that can deliver a performant, saleable and \r\nextendable matching service that can provide a view of complex \r\ncorporate structures and legal entities e.g. Legal entity for a \r\ncorporate's capital gains taxes might be different to the same \r\ncorporations but different legal entities VAT.  This activity can \r\nonly be completed using an Entity resolution capability that goes \r\nbeyond the current capability within Enterprise Matching Service \r\n(EMS), the solution developed in house. Effective Entity \r\nresolution will also support the business in addressing current \r\nchallenges faced by the Operational Areas relating to Exceptions.   \r\nWhilst a human can likely look at records from different sources \r\nand determined if they refer to the same product or not, this is \r\nnot scalable across all records and the complexity increases \r\nquickly with more and larger datasets increasing resourcing \r\npressure on operational areas.  Effective Entity Resolution will \r\nwork by reducing the instances of inconsistent matches, false \r\nnegatives and false positives and derive canonical entities in a \r\nsystematic and scalable way.",
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                        "countryName": "England"
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                    "contactPoint": {
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                    "id": "GB-COH-10045407",
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