The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 01, 2013

Filed:

Sep. 28, 2010
Applicants:

Sandra L. Stoker, Allentown, PA (US);

Ahmad Tariq Sharif, New Hope, PA (US);

Michael E. Prevoznak, Lebanon, NJ (US);

Christopher John Lucas, Atlantic Highlands, NJ (US);

Charles R. Benke, Macungie, PA (US);

Maria P. Seckler, Warren, NJ (US);

Alan Duckworth, Wescoville, PA (US);

Inventors:

Sandra L. Stoker, Allentown, PA (US);

Ahmad Tariq Sharif, New Hope, PA (US);

Michael E. Prevoznak, Lebanon, NJ (US);

Christopher John Lucas, Atlantic Highlands, NJ (US);

Charles R. Benke, Macungie, PA (US);

Maria P. Seckler, Warren, NJ (US);

Alan Duckworth, Wescoville, PA (US);

Assignee:

The Dun & Bradstreet Corporation, Short Hills, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/00 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
Abstract

A computer implemented method for ensuring the quality of processed corporate entity data, the method comprising: sequentially processing the corporate entity data through a series of serially connected drivers, the serially connected drivers comprise a data collection driver, an entity matching driver, an identification number driver, a corporate linkage driver, and a predictive indicator driver; and conducting a quality assurance of the corporate entity data as it is processed in each of the driver, wherein the quality assurance comprises: (i) sampling the corporate entity data from each the driver periodically, thereby generating sample data; (ii) evaluating the sample data; and (iii) adjusting the processing based upon the evaluation, thereby producing high quality data.


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