Difference between revisions of "ANLY482 AY2017-18 Group9: Project Overview"
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==<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 BACKGROUND</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 BACKGROUND</strong></font></div></div>== | ||
| − | KOI is one of the most well-known bubble tea brands in Singapore, founded in 2006. Despite this, it is facing logistics problems in their daily operations such that employees in different branches have difficulty predicting the right amount of ingredients to order. | + | <!--KOI is one of the most well-known bubble tea brands in Singapore, founded in 2006. Despite this, it is facing logistics problems in their daily operations such that employees in different branches have difficulty predicting the right amount of ingredients to order. |
Moreover, space constraints of each branch is different and have to be taken into consideration, since not every branch can order the same amount of quantity, leading to a steep learning curve for new employees. | Moreover, space constraints of each branch is different and have to be taken into consideration, since not every branch can order the same amount of quantity, leading to a steep learning curve for new employees. | ||
Current employees also do not fully understand how much ingredients would be needed during promotional periods of certain products. | Current employees also do not fully understand how much ingredients would be needed during promotional periods of certain products. | ||
| − | As such, our project aims to focus on predictive analysis tools | + | As such, our project aims to focus on predictive analysis tools along with data provided by KOI to better understand correlations between different factors and sales, helping employees make better informed decisions on how much to order in the future. --> |
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Revision as of 10:22, 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
