Building analytical models with standardized virtual flat files

• US 7,299,241 B2
• Filed: 08/17/2005
• Issued: 11/20/2007
• Est. Priority Date: 11/22/2002
• Status: Expired due to Term

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services GmbH (Accenture PLC)
• Inventors: Reed, Kenneth L., Ansusinha, Theodore
• Primary Examiner(s): Mizrahi; Diane D.
• Application Number:
  US11/147,034
• Publication Number:
  US 20050273462A1
• Time in Patent Office: 825 Days
• Field of Search: 707 1- 10, 707100-1041, 707200- 2, 719/328, 709/219
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

A system and method for creating virtual flat customer records derived from database customer data that may be used as standardized input for analytical models. A Customer Analytic Record (“CAR”) application may be created as a database object to extract, transform, and format all of the customer data needed for customer segmentation and predictive modeling. The CAR may be a set of database views that are defined using virtual stored queries The CAR application may dynamically calculate additional variables using predetermined transformations, including custom transformations of an underlying behavior. The CAR is preferably a dynamic view of the customer record that changes whenever any update is made to the database. The definition of the CAR provides documentation of each data element available for use in models and analytics.

Claims

1. A computer-implemented method for building analytical models with standardized virtual flat files, comprising:

creating at least one view of a database, wherein the at least one view comprises at least one database field and at least one transform, wherein the transform is based on database data;

creating a virtual flat file from the at least one view, wherein the virtual flat file includes an identification data region, a product ownership data region, a behavior data region, a demographics data region, a model scores data region, and a contacts data region;

building at least one analytical model using the virtual flat file as input variables for the analytical model;

wherein the data regions of the virtual flat file comprise a complete input stream needed to perform a plurality of various customer analytical modeling wherein no additional data is required.

2. The computer-implemented method for building analytical models with standardized virtual flat files of claim 1, wherein a first subset of the complete input stream comprises a set of input variables for a first modeling program.

3. The computer-implemented method for building analytical models with standardized virtual flat files of claim 2, wherein a second subset of the complete input stream comprises a set of input variables for a second modeling program.

4. The computer-implemented method for building analytical models with standardized virtual flat files of claim 1, wherein the complete input stream comprises at least one variable that is derived from the database data.

5. The computer-implemented method for building analytical models with standardized virtual flat files of claim 1, wherein the virtual flat file contains data for assisting with adaptive marketing.

6. The computer-implemented method for building analytical models with standardized virtual flat files of claim 1, wherein the virtual flat file contains data for assisting with an insight-driven customer inter-action.

7. The computer-implemented method for building analytical models with standardized virtual flat files of claim 6, wherein the complete input stream comprises at least one variable that is derived from the database data.

8. The computer-implemented method for building analytical models with standardized virtual flat files of claim 6, wherein the virtual flat file contains data for assisting with adaptive marketing.

9. The computer-implemented method for building analytical models with standardized virtual flat files of claim 6, wherein the virtual flat file contains data for assisting with an insight-driven customer interaction.