Data integrity is a critical component in the realm of financial transactions, particularly when it comes to managing and interpreting payment information. The Customer Data Bridge is a PagoNxt Payments Hub data feed that represents the Golden Source of a client’s payment information.
Its main purpose is to serve payment data to be integrated into analytical and reporting customer applications, such as data lakes and other customer information applications. Always for informational or analytical purposes, never operational or transactional (*).
It updates the payment processing information in near real time and stores it in a database with the data generated in the Payments Hub flows.
Stored information includes all the relevant information about the payment, such references and statuses that the payment goes through in the different steps of the processing.
The stored data can be served in two formats (*):
Streaming: streaming publication in a topic
File: Periodic extractions
Payments Hub data flow in a nutshell
Data is initially generated in ISO 20022 messages by the client or the Clearing House
Data is propagated via events from the payment flow to the Data Layer to be used by different data products
Payments are managed by customer operators in the customer portal on a daily basis.
The customer data bridge serves data to feed customer's information and analytical systems.
Notice
In order for these data products to effectively manage event information, the data must be provided in a standardised format, normalised across the various entry and exchange interfaces of the process.
To achieve this, data from ISO messages must be accurately mapped, including supplementary data (***) as defined and normalised by PaymentsHub. When this is done, the data will be collected, stored, and used properly across all services.
(*) Its role is not to provide information for the daily operation or management of payments.
(**) All product contracts and formats are defined exclusively by the PH product.
(***) Definition of Supplementary Data