Difference between revisions of "ANLY482 AY2016-17 T2 Group17"

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[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2016-17_T2_Group17 <font face ="Century Gothic" color="#66ffcc"><strong>HOME</strong></font>]
 
[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2016-17_T2_Group17 <font face ="Century Gothic" color="#66ffcc"><strong>HOME</strong></font>]
 
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[[APA_Project Overview|<font face ="Century Gothic" color="#000000"><strong> PROJECT OVERVIEW</strong></font>]]
 
[[APA_Project Overview|<font face ="Century Gothic" color="#000000"><strong> PROJECT OVERVIEW</strong></font>]]
 
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[[APA_Final_Progress|<font face ="Century Gothic" color="#000000"><strong> PROJECT FINDINGS</strong></font>]]
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[[APA_Final_Progress|<font face ="Century Gothic" color="#000000"><strong> METHODOLOGY</strong></font>]]
 
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[[APA_Project_Management|<font  face ="Century Gothic" color="#000000"><strong>PROJECT MANAGEMENT </strong></font>]]
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[[APA_Feature Engineering|<font  face ="Century Gothic" color="#000000"><strong> FEATURE ENGINEERING</strong></font>]]
 
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[[APA_Project_Management|<font  face ="Century Gothic" color="#000000"><strong>CLASSIFICATION MODELLING </strong></font>]]
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[[APA_Documentation|<font  face ="Century Gothic" color="#000000"><strong> DOCUMENTATION</strong></font>]]
 
[[APA_Documentation|<font  face ="Century Gothic" color="#000000"><strong> DOCUMENTATION</strong></font>]]
 
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[[APA_Feature Engineering|<font  face ="Century Gothic" color="#000000"><strong> FEATURE ENGINEERING</strong></font>]]
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[[ANLY482_AY2016-17_Term_2|<font  face ="Century Gothic" color="#000000"><strong>OTHER PROJECTS</strong></font>]]
 
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[[APA_Methodology|<font face ="Century Gothic" color="#000000"><strong> METHODOLOGY</strong></font>]]
 
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|style="vertical-align:top;width:30%;" | <div style="background: #10d0e5; padding: 13px; font-weight: bold; text-align:center; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"> <font color= #ffffff>Sponsor and Problem Statement</font></div><br/>
 
|style="vertical-align:top;width:30%;" | <div style="background: #10d0e5; padding: 13px; font-weight: bold; text-align:center; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"> <font color= #ffffff>Sponsor and Problem Statement</font></div><br/>
[[File:Digital-Logo.png|300px|frameless|left]]
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[[File:Digital-Logo.png|350px|frameless|left]]
 
<p>  
 
<p>  
 
TrustSphere is a market leader in Relationship Analytics, delivering solutions through Sales Analytics, Risk Analytics and People Analytics. Their goal is to help clients find the value of their associated networks for improving key business challenges such as sales force effectiveness, enterprise-wide collaboration, participation and contribution statistics and corporate governance.
 
TrustSphere is a market leader in Relationship Analytics, delivering solutions through Sales Analytics, Risk Analytics and People Analytics. Their goal is to help clients find the value of their associated networks for improving key business challenges such as sales force effectiveness, enterprise-wide collaboration, participation and contribution statistics and corporate governance.
 
<br><br>
 
<br><br>
Human Resource Analytics is the idea of using data in the organizational context to understand different factors about employees such as their degree of collaboration and influence. Collaboration, being a crucial part of managing an organization is a valuable determinant in understanding how decisions are made and how relations are built. Furthermore, influence can provide a blueprint of the hubs of information flow and effective change in the organization. Through this project, we aim to provide a way of comprehending these factors through deep data analysis and patterns observed in communication interactions (email and instant messaging) of employees.
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Human Resource Analytics is the idea of using data in the organizational context to understand different factors about employees such as their degree of collaboration and influence. Collaboration, being a crucial part of managing an organization is a valuable determinant in understanding how decisions are made and how relations are built. Furthermore, influence can provide a blueprint of the hubs of information flow and effective change in the organization. Through this project, we aim to provide a way of comprehending these factors through deep data analysis of employee email subject lines and frequency.  
 
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[[Image:Prof Kam APA.png|600px]]
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* Instructor Prakash Chandra Sukhwal
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Latest revision as of 23:40, 23 April 2017

APA logo.png

HOME

 

PROJECT OVERVIEW

 

METHODOLOGY

 

FEATURE ENGINEERING

 

CLASSIFICATION MODELLING

 

DOCUMENTATION

 

OTHER PROJECTS

 

100% completed (estimate)

   


Sponsor and Problem Statement

Digital-Logo.png

TrustSphere is a market leader in Relationship Analytics, delivering solutions through Sales Analytics, Risk Analytics and People Analytics. Their goal is to help clients find the value of their associated networks for improving key business challenges such as sales force effectiveness, enterprise-wide collaboration, participation and contribution statistics and corporate governance.

Human Resource Analytics is the idea of using data in the organizational context to understand different factors about employees such as their degree of collaboration and influence. Collaboration, being a crucial part of managing an organization is a valuable determinant in understanding how decisions are made and how relations are built. Furthermore, influence can provide a blueprint of the hubs of information flow and effective change in the organization. Through this project, we aim to provide a way of comprehending these factors through deep data analysis of employee email subject lines and frequency.

Team

APA Team.png

Supervisor


  • Instructor Prakash Chandra Sukhwal