Organization categorization system and method

• US 10,303,705 B2
• Filed: 11/21/2016
• Issued: 05/28/2019
• Est. Priority Date: 01/25/2013
• Status: Active Grant

• Current Assignee: Humana Incorporated
• Original Assignee: Humana Incorporated
• Inventors: Hollister, Andrew B., Barth-Thacker, Elizabeth
• Primary Examiner(s): Cao, Phuong Thao
• Application Number:
  US15/357,047
• Publication Number:
  US 20170068723A1
• Time in Patent Office: 918 Days
• Field of Search: 707737
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/86 Mapping to a database
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/306 User profiles

Abstract

An organization categorization system and method is disclosed. The organization categorization system and method relies on server data to discover which business organizations are consuming the finite resources of the server and in what proportions. Organizations are categorized according to their consumption of resources. The categorization system and method further ascribes a relative business value to each organization to facilitate the allocation of resources among the various organizations in a business. In an example embodiment, users of the server resources use the SAS programming language and the server resources execute SAS applications that support the SAS programming language. The organization categorization system and method connects an executed computer program to a business-defined classification of applicability to purpose. The system and method employs a double level of abstraction to link specific programming styles, first to a general solution case (“design pattern”), and then to link the general solution idiomatically to the business case.

Claims

1. A computerized method for categorizing business organizations comprising:

(a) defining at a server a plurality of user programming behavior categories;

(b) receiving at said server for a plurality of users a plurality of execution attributes for each of said plurality of user programming behavior categories;

(c) receiving at said server a plurality of business organizational classifications, wherein said plurality of business organizational classifications identify said business organizations;

(d) assigning each of said plurality of user programming behavior categories to at least one of a plurality of programming patterns and a resource use level;

(e) associating each of said plurality of programming patterns to a resource use measure and a user profile;

(f) identifying from the plurality of business organizational classifications and for each of said plurality of users a business organizational classification associated with each of said plurality of users; and

(g) assigning to the business organizational classification one of a plurality of user profiles according to aggregated programming patterns and resource use measures.

2. The computerized method of claim 1 wherein said plurality of user programming behavior categories are selected from the group consisting of programming writing style, computer resource consumption, and business organizational classification.

3. The computerized method of claim 1 wherein said plurality of execution attributes are selected from the group consisting of program block identifier, program data input identifier, program data output identifier, program step summary code, program step options, CPU amount used, I/O amount used, disk storage used, counts, department identifier, supervisor identifier, and user profile category.

4. The computerized method of claim 1 wherein at least one execution attribute comprises a sum of measures for a time domain.

5. The computerized method of claim 1 wherein said plurality of execution attributes is selected from the group consisting of absolute sums and ratios.

6. The computerized method of claim 1 wherein said resource use level comprises a range of values.

7. The computerized method of claim 1 wherein said resource use measure comprises a range of values.

8. The computerized method of claim 1 further comprising allocating at said server resources to a plurality of business organizational classifications according to said plurality of user profiles.

9. A computerized method for categorizing business organizations comprising:

(a) defining at a server a taxonomy of programming techniques for a computer program;

(b) defining at said server for each of said programming techniques a plurality of execution attributes;

(c) defining at said server a time domain for collecting use data for said plurality of execution attributes;

(d) receiving at said server use data collected during said time domain for said plurality of execution attributes, said use data collected from a plurality of users executing said computer program;

(e) associating at said server one of said plurality of business organizational classifications with each of said plurality of users, wherein said plurality of business organizational classifications identify said business organizations;

(f) aggregating at said server use data by business organizational classification from users associated with each said business organizational classification;

(g) aggregating at said server for each business organizational classification said use data for said plurality of execution attributes; and

(h) assigning each said business organizational classification to one of a plurality of use profiles according to said aggregated use data for said plurality of execution attributes.

10. The computerized method of claim 9 wherein said programming techniques correspond to program blocks of said executing computer program.

11. The computerized method of claim 9 wherein said plurality of execution attributes is selected from the group consisting of program block identifier, program data input identifier, program data output identifier, program step summary code, program step options, CPU amount used, I/O amount used, disk storage used, counts, department identifier, supervisor identifier, and user profile category.

12. The computerized method of claim 9 wherein at least one execution attribute comprises a sum of measures for said time domain.

13. The computerized method of claim 9 wherein said plurality of execution attributes is selected from the group consisting of absolute sums and ratios.

14. The computerized method of claim 9 wherein assigning each said business organizational classification to one of a plurality of use profiles comprises assigning said business organizational classification according to resource use levels associated with said aggregated use data.

15. The computerized method of claim 9 further comprising allocating at said server resources to each said business organizational classification according to said plurality of use profiles.

16. A computerized method for mapping business organizations to a use profile comprising:

(a) defining at a server a plurality of programming;

(b) defining at said server a plurality of execution attributes for measuring resource use of said plurality of programming steps;

(c) defining at said server a plurality of programming step groups, said plurality of programming step groups comprising a plurality of programming steps;

(d) associating with each of said plurality of programming step groups a resource use level;

(e) mapping each of said associated programming steps groups and resource use levels to a programming pattern;

(f) defining at said server a plurality of use profiles, each of said plurality of use profiles associated with a programming pattern and a resource use measure;

(g) associating at said server each of a plurality of users with one of a plurality of business organizations;

(h) calculating at said server for said plurality of business organizations at least one resource use measure from use data of users associated with each of said plurality of business organizations; and

(i) assigning each of said plurality of business organizations to one of said plurality of use profiles according to said business organization'"'"'s resource use measure.

17. The computerized method of claim 16 wherein said plurality of execution attributes is selected from the group consisting of program block identifier, program data input identifier, program data output identifier, program step summary code, program step options, CPU amount used, I/O amount used, disk storage used, counts, department identifier, supervisor identifier, and user profile category.

18. The computerized method of claim 16 further comprising allocating at said server resources to said plurality of business organizations according to said plurality of use profiles.