Difference between revisions of "ANLY482 AY2017-18 Group9: Project Overview"
Sjphang.2014 (talk | contribs) |
Sjphang.2014 (talk | contribs) |
||
Line 49: | Line 49: | ||
==<div style="background: #40403E; line-height: 0.3em; font-family:helvetica; border-left: #FFA500 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>PROJECT MOTIVATION</strong></font></div></div>== | ==<div style="background: #40403E; line-height: 0.3em; font-family:helvetica; border-left: #FFA500 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>PROJECT MOTIVATION</strong></font></div></div>== | ||
− | Through our past internship, it gave us an insight of how can we utilize big data to its full potential for better decision-making and solving business problems in most industries. Such industries that we worked on before includes Security, Transport, Storage Solutions and Hospitality and Tourism. We understand the potential value analytics brings to the firm in all industries if harnessed properly. Therefore, being a consumer and not having any exposure in the consumer's industry. We will like to take this opportunity to challenge ourselves to analyse data that is in an unfamiliar domain. | + | <p align="justify">Through our past internship, it gave us an insight of how can we utilize big data to its full potential for better decision-making and solving business problems in most industries. Such industries that we worked on before includes Security, Transport, Storage Solutions and Hospitality and Tourism. We understand the potential value analytics brings to the firm in all industries if harnessed properly. Therefore, being a consumer and not having any exposure in the consumer's industry. We will like to take this opportunity to challenge ourselves to analyse data that is in an unfamiliar domain. </p> |
<br> | <br> | ||
Revision as of 10:23, 4 January 2018
PROJECT BACKGROUND
PROJECT MOTIVATION
Through our past internship, it gave us an insight of how can we utilize big data to its full potential for better decision-making and solving business problems in most industries. Such industries that we worked on before includes Security, Transport, Storage Solutions and Hospitality and Tourism. We understand the potential value analytics brings to the firm in all industries if harnessed properly. Therefore, being a consumer and not having any exposure in the consumer's industry. We will like to take this opportunity to challenge ourselves to analyse data that is in an unfamiliar domain.
PROJECT OBJECTIVES
Our team will focus on correlations between different factors such as promotions, sales, shipment etc. and how these affect sales during different seasons of the year.
STAKEHOLDERS
Project Supervisor: Prof Kam Tin Seong, Associate Professor of Information Systems; Senior Advisor, SIS (Programme in Analytics)
Project Sponsor: Kyle Huang and Joshua Wong, Project Management Office, KOI THÉ Singapore Pte. Ltd