Difference between revisions of "ANLY482 AY2016-17 Term 1"

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<td>[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2016-17_T1_Group3 Geo-spatial Operational Insights for National Library Board]</td>
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<td>[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2016-17_T1_Group3_Qui_Vivra_Verra Geo-spatial Operational Insights for National Library Board]</td>
 
<td>In this age of information, we see an increasing need for people and businesses to have a greater access to space and resources to further their personal and corporate needs. Hence, there is the requisite for the libraries to adequately manage this associated increasing demand. However, there exists this difficulty in measuring the operational readiness of the libraries; unlike typical corporations and organisations, the measure of public demand is not in dollars and cents.  
 
<td>In this age of information, we see an increasing need for people and businesses to have a greater access to space and resources to further their personal and corporate needs. Hence, there is the requisite for the libraries to adequately manage this associated increasing demand. However, there exists this difficulty in measuring the operational readiness of the libraries; unlike typical corporations and organisations, the measure of public demand is not in dollars and cents.  
 
<p>Furthermore, there have been renovations and relocation of existing libraries and unveiling of new libraries to keep up with the times. These constant changes prompt for a reliable system to measure the effectiveness of past policies, as well as an accurate predictive model to conduct what-if analyses for future plans. This project aims to create a user-friendly system which displays geo-spatial information that can provide operational insights for the NLB.</p>
 
<p>Furthermore, there have been renovations and relocation of existing libraries and unveiling of new libraries to keep up with the times. These constant changes prompt for a reliable system to measure the effectiveness of past policies, as well as an accurate predictive model to conduct what-if analyses for future plans. This project aims to create a user-friendly system which displays geo-spatial information that can provide operational insights for the NLB.</p>

Revision as of 10:53, 29 August 2016

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About

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List of Projects
Title Analytics Practicum Description Student Member(s) Project Supervisor Sponsor
Our Project Tile is

Group01- Team Analytics

  • Anita
  • Hoe Xiu Ming
  • Sallyana
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)
Our Project Tile is

Group02- Team Analytics

  • Chua Feng Ru
  • Chang Hua Peng
  • Ngo Kee Kai
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)
Geo-spatial Operational Insights for National Library Board In this age of information, we see an increasing need for people and businesses to have a greater access to space and resources to further their personal and corporate needs. Hence, there is the requisite for the libraries to adequately manage this associated increasing demand. However, there exists this difficulty in measuring the operational readiness of the libraries; unlike typical corporations and organisations, the measure of public demand is not in dollars and cents.

Furthermore, there have been renovations and relocation of existing libraries and unveiling of new libraries to keep up with the times. These constant changes prompt for a reliable system to measure the effectiveness of past policies, as well as an accurate predictive model to conduct what-if analyses for future plans. This project aims to create a user-friendly system which displays geo-spatial information that can provide operational insights for the NLB.

Group03- Qui vivra verra

  • LIU Bowei
  • PONG Chong Xin
  • TEO Hui Min
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) National Library Board (NLB)
Our Project Tile is

Group04- Team Three Bros

  • Manas Mohapatra
  • Justin Ong
  • Joshua Quek
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)
Our Project Tile is

Group05- Team Analytics

  • Chen Shiqi
  • Tan Wei Lin Joanna
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)
Social Network Analysis: Evaluation of Sales Force Performance Advanced analytics have permeated almost every aspect of business management, from sales and marketing to finance and operations. Once carried out through intuition and experience, the human resource (HR) function is now undergoing its own revolution in the form of People Analytics. People Analytics provide HR professionals with data-driven methods to evaluate human capital and uncover critical workforce insights, thus diminishing the “guesswork” and uncertainty that comes with talent management.

This project seeks to assist TrustSphere in gaining insight into how efficiently their sales team communicates within the company’s external and internal network. Furthermore we aim to develop a dashboard that helps them monitor these communications and assess the performance of their sales employees.

Group06- Team MST

  • Mabel HENG Yi Teng
  • Siti Hamidah Binte Abdul HAMID
  • Tarika GUPTA
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) Ridwan Ismeer

TrustSphere