KYC Match

KYC Match is designed to help you meet your KYC 2+2 regulatory obligations. The "2+2" rule in electronic Know Your Customer (KYC) verification requires matching at least two pieces of identifying information against at least two separate, reliable data sources.

KYC Match uses alternative data sources to traditional Credit reference Agencies (CRA) in order to increase the chances of matching to 2 or more data sources. This helps to onboard customers who would traditionally fail CRA checks due to "thin file". In PoC's with existing customers we have positively matched to 50% of the individuals who failed CRA checks or only matched to one source of data.

The KYC Match is a distinct count of the number of providers that OneID has matched the name, address, and date of birth to. We use multiple sources and you can choose which of the options you’d like to use – all of them are configurable,

Data we match to:

Bank Accounts, current accounts, savings accounts
Business bank accounts
Secured and Unsecured loans
Insurance Policies and Insurance Claims including house, travel, life, pet and motor insurance
Mobile Phone
Car Finance and Hire Purchase
Electoral Roll and Rolling Register
CCJ
Credit data

Inputs required

Full name
Address
Date of Birth

Returned Matches

Match Count is a summary of the number of matches and match types that have been achieved

Name	Format	Description
NAD (Name, Address, Date of Birth)	numeric	Count of the number of records where we have matched the name, address and date of birth
NA (Name, Address)	numeric	Count of the number of records where we have matched the name and address
ND (Name, Date of Birth)	numeric	Count of the number of records where we have matched the name and date of birth
Distinct Count		A distinct count of the number of records from all providers where we have a match (NAD, NA or ND)

Match Evidence is a detailed breakdown of the matches achieved with the match type and source of data

Name	Description
Dataset Type	The type of data provider that has been matched to e.g. Bank
Product	The type of product that has been matched to e.g. Bank Account
Distinct Count	The number of matches against the product type
Match Count per Match level	The match count per match type (PAD, PA,PD)

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