Adp, Inc.

Marc Rind

Vikas Saini

Samir Khanal

Chandradeep Kanakamedala

Hafeez Raji

Anshuman Gaur

Sachin V Havaldar

Xiaojing Wang

James R Haas

Michael Ratcliff

Manoj Oleti

Nitin Kumar Tammewar

Uday Kovur

Faseeha Khan

Eric Zitaner

David B Turetsky

Philip Charron

Emily Scala

Richard Wilson

Min Xiao

Lei Xia

Dmitry Alexandrovich Tolstonogov

Robert James Crozier

Slawomir Krysiak

Linxuan Jiang

Fang Yuan

James Gray Kimbrough, Iii

Faisal Farooq

Daniel Busey

Lucero Carmona

Lee Kernke

Mark Schuber

Kishore Bangali

Amit Kumar Sharma

Thomas Miller

Rich Wilson

Donald Weinstein

Chandra T Sreeraman

Szabi Nagy

Oliver C Pierson

Swetha Manchikanti

Anujkumarsinh Donvir

Andrew W Pierce

Venkata Turlapati

Surekha Avasarala

John Robert Catino, Jr

Dong Meng

Pradyumna Mohapatra

Srinivasa Rao Kummarapu

A method and system for analyzing employee retention across an enterprise based on commuter modeling is disclosed. The method can be implemented in a computer system which includes: mapping longitudinal and latitudinal coordinates of address information of a plurality of employees and a work location onto a map, which shows a predefined geographic location encompassing the work location surrounded by the longitudinal and latitudinal coordinates of the address information; obtaining calculated analytics data of employee turnover rate for the plurality of employees based on a commute distance from the work location to each of the longitudinal and latitudinal coordinates of the plurality of employees; and graphically overlaying the analytics data of the turnover rate for the plurality of employees onto the map to show employee turnover rate for different segments of the map.

Systems and methods for commute analysis and modeling

A method and apparatus for normalizing data. A computer system receives category data for a first code from a first client of a plurality of clients. The computer system also generates a category rule based on the category data. The computer system also assigns a category to a second code of a second client of the plurality of clients using the category rule. The category data is generated using input from the first client. Assigning the category to the second code of the second client comprises selecting the category rule to use to assign the category to the second code from a plurality of category rules.

Data normalizing system

Display screen or portion thereof with graphical user interface

A computer-implemented method for processing information in a big data environment. A target query is received. The target query is run against a catalog to obtain desired fields for search and to filter for specific targets from which data will be extracted. Responsive to the query, particular data is extracted from the specific targets. Extracting includes defining a query pack comprising a configuration file and one or more files containing queries to execute on each target in the specific targets, the configuration file containing a section for each of the one or more files to customize configurations for each of the one or more files, and particular connection information defining relationships among the specific targets. One ingestion daemon is executed for every file of the one or more files in the query pack to produce results. The results are processed in a distributed parallel computing environment.

Multiple parallel queries on multiple databases for big data injection

Display screen or portion thereof with animated graphical user interface

Display screen with a graphical user interface

Growing community of inventors

Summit, NJ, United States of America

Marc Rind