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. 10, 2019

Filed:

Jun. 16, 2016
Applicant:

Successfactors, Inc., South San Francisco, CA (US);

Inventors:

Feng Sun, Boston, MA (US);

Amy Dines, Beverly, MA (US);

Tatiana Jordan, Denver, CO (US);

Ke Chen, Foster City, CA (US);

Keqin Liu, Pleasanton, CA (US);

Assignee:

SUCCESSFACTORS, INC., South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/10 (2012.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/105 (2013.01); G06Q 10/06398 (2013.01);
Abstract

An employee compensation modeling approach generates a model from a stored template. The model template may include fields for eligibility rules, performance ratings, guidelines, exchange rates, pay ranges, and other information. A modeling engine then populates that model with specific data from a human resources (HR) database, according to the structure of the template. Examples of HR data stored in an underlying database can include employee names, job codes, pay grades, physical job locations, base salaries, and other compensation-relevant information. The resulting compensation model includes a name, a description, target(s), and other information including allocation(s). The compensation model is displayed on an interface configured to receive further user inputs for purposes of model exploration and/or update. In certain embodiments, the HR database may be an in-memory database, with the template and/or engine also being present within the in-memory database in order to leverage its processing power and storage capacity.


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