The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 31, 2019

Filed:

Dec. 22, 2014
Applicant:

Workday, Inc., Pleasanton, CA (US);

Inventors:

Daniel Walter Beck, Menlo Park, CA (US);

Mohammad Sabah, San Jose, CA (US);

Adeyemi Ajao, San Francisco, CA (US);

James Fan, San Mateo, CA (US);

Parag Avinash Namjoshi, Redwood City, CA (US);

Kevin Mun Joun Tham, Alameda, CA (US);

Vladimir Giverts, San Francisco, CA (US);

Assignee:

Workday, Inc., Pleasanton, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/0635 (2013.01);
Abstract

A system for determining retention risk comprises a grouper, a filter, a normalizer, a feature vector extractor, a model builder, and a predictor. The grouper is for determining a set of time series of transactions where each is associated with one employee. The filter is for filtering the set of time series of transactions based on an employee transition characteristic to determine a subset of time series. The normalizer is for determining a model set of time series by normalizing the subset of time series. The feature vector extractor is for determining a set of feature vectors determined from a time series of the model set of time series. The model builder is for determining one or more models based at least in part on the set of feature vectors. The predictor is for predicting retention risk for a given employee using the one or more models.


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