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Method and apparatus for industrial data acquisition and product costing

Patent 5970476 Issued on October 19, 1999. Estimated Expiration Date: Icon_subject September 19, 2016. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

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Inventor

Assignee

Application

No. 715552 filed on 09/19/1996

US Classes:

705/28, Inventory management705/29, Itemization of parts, supplies, or services (e.g., bill of materials)707/1, DATABASE OR FILE ACCESSING707/10, Distributed or remote access707/100DATABASE SCHEMA OR DATA STRUCTURE

Examiners

Primary: Peeso, Thomas R.

Attorney, Agent or Firm

International Class

H04L 027/00

Abstract

An information storage, processing, and reporting system (20) for tracing enterprise wide product data, the system comprises a data storage (23, 26, 50) is adapted for storing data (106, 120, 112, 108) entries related to a product family. The data is received in a data warehouse system (42). The data is cataloged (54, 56, 58, 62). Cataloging the related data includes identifying data elements related to selected product families. The system indexes (70, 140, 144, 148, 149, 159, 169, 179) the identified data elements which are related to a selected first product family in accordance with the data representative thereof. Interconnected tables 140, 144, 148, 149, 159, 169, 179 are used for grouping indexed data elements pursuant to data representative of selected criterion. A storage medium (50) is adapted for storing the grouped data elements in a relational database (52). A digital processor (44) processes (36, 38, 116, 128) the grouped data elements in accordance with Activity Based Cost criteria. The memory medium (50) is adapted for storing the processed data (122, 110, 114, 124, 56, 54) in a relational database structure (52).

Other References

  • Fahey, Bill G., Building an ABC Data Warehouse, Management Accounting, Mar. 1996
  • Francett, Barbara, Database Technologies Vie for Data Warehouse Occupancy, Software Magazine, Apr. 1995
  • Laney, Doug, Industry Analysis: All Roads Lead to the Data Warehouse
  • Oracle Creative Services and Early Gee Design, the Executive's Guide to Building a Data Warehouse, Oracle Corporation 1995
  • Rottenberg, Alan, Sr., Industry Analysis: Demands for Data Create New Opportunities
  • Swanson, Doug, Industry Analysis: The Expanding Role of Middlware in Data Warehousing
  • Industry Analysis: The Smart Warehouse Solution (From the Back Office to the Front Lines
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