Jpmorgan Chase Bank, N.a.

W David Thomas

Dennis Bowers

Michael S Hartman

Nagesh Chalasani

Seth M Goldkrantz

Jason J Kim

Stephani L Breault

Steven Noel Roth

Wade A Stratton

Vidyasankar Narayanan

Marianna Dulkina

Ajit Nalla

Margaret F Evans

Steven Aller

Jagan Devisetty

Kapil Bansal

Suzanne Dimant

Claimonte Nelson

Keith Reichenbach

Vakul Garg

Daniel A Haas

James Hennessey

Richard S Bunke

Pio Abate

A method for presenting pre-approved and pre-underwritten offers to a customer may include: receiving targeting criteria based on at least one of current accounts with the financial institution, assets, creditworthiness, and credit risk for an offer for a financial product; identifying a target population of customers for the offer by applying the targeting criteria to a population of customers; reviewing each customer in the target population for underwriting for the financial product based on inferred income for each customer and accounts that each customer has with the financial institution, wherein the underwriting is performed before the financial product is offered; determining a channel to present the offer to one of the customers that passed underwriting; communicating the offer to the customer over the selected channel; and providing an accepted offer to a fulfilment engine, wherein the fulfilment engine initiates an account opening for the financial product.

Systems and methods for pre-approving and pre-underwriting customers for financial products

Systems and methods for data quality management are disclosed. According to one embodiment, a computer-implemented method may include: identifying, by a data quality management engine, a data feed from a data source; defining, by the data quality management engine, a data element in the data feed; identifying, by the data quality management engine, a plurality of processes in a multi-hop process involving the data element; executing, by the data quality management engine, a data quality check on each process of the plurality of processes; identifying, by the data quality management engine, an error rate with one of the plurality of processes; determining, by the data quality management engine, that the error rate exceeds an error rate threshold for the one of the plurality of processes; and executing, by the data quality management engine, an automated action in response to the error rate exceeding the error rate threshold.

Systems and methods for data quality management

Growing community of inventors

Glassboro, NJ, United States of America

W David Thomas