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

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[[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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Revision as of 16:19, 17 February 2017

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HOME

 

PROJECT OVERVIEW

 

PROJECT FINDINGS

 

PROJECT MANAGEMENT

 

DOCUMENTATION

 

FEATURE ENGINEERING

 


Sponsor and Problem Statement

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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.

Our project seeks to use social network analysis theories to create a hybrid centrality scoring method and a comprehensive dashboard based on email correspondence data that would provide TrustSphere with direct insights on various aspects of global collaboration effectiveness.

Team

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Supervisor

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