Human resource analytics with profile data

• US 10,445,663 B2
• Filed: 04/05/2012
• Issued: 10/15/2019
• Est. Priority Date: 06/30/2011
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kelkar, Bhooshan Prafulla, Paradkar, Mahesh Shivram
• Primary Examiner(s): Misiaszek, Amber A
• Application Number:
  US13/440,307
• Publication Number:
  US 20130006685A1
• Time in Patent Office: 2,749 Days
• Field of Search: 705 711- 742
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

A method, computer program product, and system for human resource analytics using profile data is described. The method includes receiving historical project data, wherein the historical project data includes at least one profile of at least one historical project team member. Psychometric data associated with the at least one historical project team member is received. Updated historical project data is generated, in which, at least in part, psychometric data associated with the at least one historical project team member is added to the at least one profile included in the historical project data.

Claims

1. A method comprising:

receiving, via one or more computing devices, historical project data, wherein the historical project data includes at least one profile of at least one historical project team member, one or more historical project requirements, and one or more historical project results;

determining, via the one or more computing devices, psychometric data associated with the at least one historical project team member through sentiment analysis of at least one social networking source, wherein the psychometric data includes psychological characteristics and mental abilities of the at least one historical project team member, wherein sentiment analysis includes computationally identifying and extracting, via the one or more computing devices, at least one of a positive, negative, and neutral sentiment from at least one of a post and a comment from the at least one social networking source, wherein the at least one social networking source includes at least one of a blog, a social networking site, and a social interaction site;

generating, via the one or more computing devices, updated historical project data including, at least in part, adding the psychometric data associated with the at least one historical project team member to the at least one profile included in the historical project data;

receiving, via the one or more computing devices, one or more new project requirements associated with a new project;

identifying, via the one or more computing devices, a similarity between the one or more historical project requirements and the one or more new project requirements, including comparing the psychometric data of the at least one historical project team member to the new project requirements;

identifying, via the one or more computing devices, an indication of success associated with the psychometric data included in the updated historical project data and with the one or more historical project requirements identified as similar to the one or more new project requirements;

determining, via the one or more computing devices, a set of modified project requirements for the new project based upon, at least in part, identifying the indication of success and the psychometric data associated with the at least one historical project team member determined through sentiment analysis; and

determining a ranked list of various possible team compositions that are optimal for the one or more new project requirements based upon, at least in part, the psychometric data associated with the at least one historical project team member determined through sentiment analysis.

2. The method of claim 1 further comprising:

creating at least one data cluster including, at least in part, one or more portions of at least one of the historical project data and the updated historical project data.

3. The method of claim 1 further comprising:

determining the ranked list of various possible team compositions, based upon, at least in part, the modified project requirements.

4. A method comprising:

identifying, via one or more computing devices, a similarity between one or more historical project requirements associated with one or more historical projects and one or more new project requirements associated with a new project;

determining, via one or more computing devices, historical psychometric data associated with one or more historical team members associated with the one or more historical projects through sentiment analysis of at least one social networking source, wherein the historical psychometric data includes psychological characteristics and mental abilities of the one or more historical team members, wherein sentiment analysis includes computationally identifying and extracting, via the one or more computing devices, at least one of a positive, negative, and neutral sentiment from at least one of a post and a comment from the at least one social networking source, wherein the historical psychometric data associated with one or more historical team member is, at least in part, determined from at least one social networking source including at least one of a blog, a social networking site, and a social interaction site;

identifying, via one or more computing devices, an indication of success associated with the historical psychometric data and with the one or more historical project requirements identified as similar to the one or more new project requirements based upon, at least in part, a comparison between the historical psychometric data associated with the one or more historical team members and the one or more new project requirements;

determining, via one or more computing devices, one or more modified project requirements for the new project based upon, at least in part, identifying the indication of success and the psychometric data associated with the at least one historical project team member determined through sentiment analysis; and

wherein the one or more modified project requirements for the new project includes, at least in part, one or more team composition recommendations, and wherein the one or more team composition recommendations includes, at least in part, a ranked list of various possible team compositions that are optimal for the one or more new project requirements based upon, at least in part, the psychometric data associated with the at least one historical project team member determined through sentiment analysis.

5. The method of claim 4 wherein the updated historical project data includes at least one data cluster.