US 2019/0102742 A1Published application

Diversity impact monitoring techniques

AssigneeOracle International Corporation

InventorsVikas Agrawal, Saurav Mohapatra, Anirban Majumdar, Ispati Nautiyal, Manisha Gupta

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Abstract

There are significant advantages to employing a diverse workforce within an enterprise. Techniques for identifying gaps in diversity hiring, promotion, and termination within an enterprise are provided herein. The techniques described herein may be used to analyze any large data set for comparison of aggregated data. Employment data may be collected and aggregated based on classifications such as ethnicity, gender, veteran status, disability status, and so forth, and within each classification the data can be aggregated for hiring, termination, promotion, and so forth. Two aggregates can be identified for comparison, and statistical scores may be generated for the first aggregate as compared to the second aggregate. Each of the statistical scores may be weighted and the scores may be combined to generate a single impact score. The impact score can be used to identify gaps in diversity employment practices within the enterprise.

Claims20

Dependent claims

A method for monitoring diversity impact, the method comprising:

receiving, by a data processing system, employment information for an enterprise from a plurality of data sources, the employment information comprising employee data for employees of the enterprise;
generating, by the data processing system, a plurality of aggregates of the employment information based on a plurality of classifications;
identifying, by the data processing system, a first aggregate of the plurality of aggregates for analysis;
identifying, by the data processing system, a second aggregate of the plurality of aggregates, the second aggregate being related to the first aggregate for identifying an impact score;
generating, by the data processing system, a plurality of statistical scores for the first aggregate as compared to the second aggregate, wherein each statistical score of the plurality of statistical scores is based on one of a plurality of statistical models;
assigning, by the data processing system, a weight to each of the plurality of statistical scores to generate a plurality of weighted statistical scores, wherein the weighting each of the plurality of statistical scores is based at least in part on attributes of the employment information used to generate the first aggregate and the second aggregate and based at least in part on a value of each of the statistical scores;
computing, by the data processing system, the impact score for the first aggregate as compared to the second aggregate by combining the plurality of weighted statistical scores;
and
transmitting, by the data processing system, the impact score to a user device for output by the user device.

6 more elements

A system for monitoring diversity impact, the system comprising:

one or more processors;
and
a memory having stored thereon instructions that, when executed by the one or more processors, cause the one or more processors to:
receive employment information for an enterprise from a plurality of data sources, the employment information comprising employee data for employees of the enterprise;
generate a plurality of aggregates of the employment information based on a plurality of classifications;
identify a first aggregate of the plurality of aggregates for analysis;
identify a second aggregate of the plurality of aggregates, the second aggregate being related to the first aggregate for identifying an impact score;
generate a plurality of statistical scores for the first aggregate as compared to the second aggregate, wherein each statistical score of the plurality of statistical scores is based on one of a plurality of statistical models;
assign a weight to each of the plurality of statistical scores to generate a plurality of weighted statistical scores, wherein the weighting each of the plurality of statistical scores is based at least in part on attributes of the employment information used to generate the first aggregate and the second aggregate and based at least in part on a value of each of the statistical scores;
compute the impact score for the first aggregate as compared to the second aggregate by combining the plurality of weighted statistical scores;
and
transmit the impact score to a user device for output by the user device.

9 more elements

Dependencies are inferred from the claim text.