Carl V Abrams

US Patent:

20060235715, Oct 19, 2006

Filed:

Dec 22, 2005

Appl. No.:

11/318428

Inventors:

Carl Abrams - Briarcliff Manor NY, US
Ronald Adinolfi - Yardley PA, US
Edward Calusinski - Bartlett IL, US
Cornelius Crowley - Morristown NJ, US
Michael Fleming - Eastchester NY, US
Teresa Glasser - New York NY, US
Jennifer Gromada - Princeton NJ, US
Max Hrabrov - Brooklyn NY, US
Guerney Hunt - Yorktown Heights NY, US
Kenneth Jones - Lansdale PA, US
Sugandh Mehta - Wayne NJ, US
Francis Parr - New York NY, US
Aviv Orani - Highland Park NJ, US
Matthew Rice - Medway MA, US

International Classification:

G06Q 99/00

US Classification:

705001000

Abstract:

A multi-source multi-tenant reference data utility and methods for forming and maintaining the same, delivering high quality reference data in response to requests from clients, implemented using a shared infrastructure, and also providing added value services using the client's reference data. Included are data cleansing and quality assurance of the received data with full tracking of the sourcing of each value, storage of resulting entity values in a repository which allows retrievals and enforces source based entitlements, and delivery of retrieved data in the form of on demand datasets supporting a wide range of client application needs. An advantageous implementation has additional services for reporting on data quality and usage, a selection of value adding data driven computations and business document storage. By using a shared infrastructure and amortizing the costs of data quality assurance across a plurality of clients, while ensuring that clients only receive values from data sources to which they are licensed, better quality data at lower cost is delivered.

US Patent:

20050091524, Apr 28, 2005

Filed:

Oct 22, 2003

Appl. No.:

10/690778

Inventors:

Naoki Abe - Rye NY, US
Carl Abrams - Briarcliff Manor NY, US
Chidanand Apte - Chappaqua NY, US
Bishwaranjan Bhattacharjee - Yorktown Heights NY, US
Kenneth Goldman - Norwalk CT, US
Matthias Gruetzner - Schoenaich, DE
Matthew Hilbert - Markham, CA
John Langford - Chicago IL, US
Sriram Padmanabhan - Briarcliff Manor NY, US
Charles Tresser - New York NY, US
Kathleen Troidle - Dobbs Ferry NY, US
Philip Yu - Chappaqua NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04L009/00

US Classification:

713200000

Abstract:

Various embodiments for maintaining security and confidentiality of data and operations within a fraud detection system. Each of these embodiments utilizes a secure architecture in which: (1) access to data is limited to only approved or authorized entities; (2) confidential details in received data can be readily identified and concealed; and (3) confidential details that have become non-confidential can be identified and exposed.