Difference between revisions of "AY1516 T2 Team YSR"

Latest revision as of 18:23, 15 January 2017

People Analytics

Ever since the dawn of the Age of Analytics companies have used data to drive decision-making for organizational functions such as operations, sales, marketing, and finance. Human resources, however, has traditionally been an analytical backwater (only 5% of HR decisions are based on analytics). This is being disrupted by a new wave of analytics – people analytics.

People analytics is a rapidly growing area of business intelligence and big data technology. It uses various facets of people-related data to optimize business outcomes and solve business problems. The application of people analytics with new techniques such as predictive behavioural analytics has helped organisations to save millions of dollars while improving attrition rates, employee engagement and identify underlying training requirements.

Sponsor - TrustSphere

TrustSphere is the widely recognized market leader in Relationship Analytics. TrustSphere enables forward thinking organizations to unlock the inherent value of their own networks using next generation technology. The solutions provide real-time intelligence and insights which help clients across the globe improve salesforce effectiveness, enterprise-wide collaboration and corporate governance. They deliver their solutions through leading technology and business partners including IBM, Salesforce.com and SugarCRM. The motivation behind this project is to assist TrustSphere in verifying the effectiveness of their product through other statistical techniques, and potentially discover other areas of product development.

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+[[YSR_Documentation|<font  face ="Century Gothic" color="#FFFFFF"><strong> DOCUMENTATION</strong></font>]]
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-<br>
+<br/>
-==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">Project Motivation & Objective</font></div></div>==
+<center>
+[[Image:YSR Logo.png|300px]]
+</center>
+<br/>
-<strong>Overview</strong>
+==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">People Analytics</font></div></div>==
 Ever since the dawn of the Age of Analytics companies have used data to drive decision-making for organizational functions such as operations, sales, marketing, and finance. Human resources, however, has traditionally been an analytical backwater (only 5% of HR decisions are based on analytics). This is being disrupted by a new wave of analytics – people analytics.
-<strong>Motivation</strong>
+People analytics is a rapidly growing area of business intelligence and big data technology. It uses various facets of people-related data to optimize business outcomes and solve business problems. The application of people analytics with new techniques such as predictive behavioural analytics has helped organisations to save millions of dollars while improving attrition rates, employee engagement and identify underlying training requirements.
+<br/>
-People analytics is a rapidly growing area of business intelligence and big data technology that uses snippets of people-related data to optimize business outcomes and solve business problems. People analytics replaces intuition, old-boy networks and outmoded rules of thumb with computerized tests, database searches and quantifiable performance metrics.
-“People analytics transforms our understanding of socialization in the workplace, the impact of office layout, and even concepts as “soft” as creativity. In the future, we will use this knowledge to create new ways of organizing people that radically improve the way we work. Office layouts that respond to social context and real-time feedback on communication patterns and interaction styles are new levers enabled by people analytics that no one could have imagined.”
-==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">Scope</font></div></div>==
-Access to TrustSphere’s datasets will allow the team to build a system from scratch using previously unused raw data to better understand turnover and attrition rules.
-The minimum research points we would like to address:
-* Understand the number of relationships an employee will have at different periods of time in his or her working life
-* Measure the speed of growth at which employee relationships grow in a company
-* Correlations between the sizes of internal and external relationships employees have
-* Through social network analysis, calculate the likelihood of an employee in an informal group leaving a company upon the exit of another closely tied employee
-* Identification of metrics that can help predict the likelihood of an employee leaving
-It is important to note that the scope of this project is fluid and can be furthered to address additional questions TrustSphere might have regarding the dataset.
-==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">Data</font></div></div>==
-The small dataset given to us was pulled from the outlook (mail server used at TrustSphere) database. The data basically is an exchange of emails. The dataset consists of 890,000 email exchanges and 13 variables namely:
-* Date
-* IP Address
-* Local
-* Remote
-* Local Domain
-* Remote Domain
-* Originator
-* Direction
-* Domain Group
-* Inbound Count
-* Outbound Count
-* Size
-* MsgID
-==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">Project Timeline</font></div></div>==
-==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font  face ="Century Gothic" color= "white" size="5">Project Task Breakdown</font></div></div>==
-==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">References</font></div></div>==
+==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">Sponsor - TrustSphere</font></div></div>==
+[https://www.trustsphere.com TrustSphere] is the widely recognized market leader in Relationship Analytics. TrustSphere enables forward thinking organizations to unlock the inherent value of their own networks using next generation technology. The solutions provide real-time intelligence and insights which help clients across the globe improve salesforce effectiveness, enterprise-wide collaboration and corporate governance. They deliver their solutions through leading technology and business partners including IBM, Salesforce.com and SugarCRM. The motivation behind this project is to assist TrustSphere in verifying the effectiveness of their product through other statistical techniques, and potentially discover other areas of product development.
-==<div style="background: #27AEC4; line-height: 0.3em; border-left: #27AEC4 solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">Comments</font></div></div>==
 </font>

Difference between revisions of "AY1516 T2 Team YSR"

Latest revision as of 18:23, 15 January 2017

People Analytics

Sponsor - TrustSphere

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