Difference between revisions of "ANLY482 AY2016-17 T2 Group06"
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Iteration 2 (updated wiki, proposal report uploaded) | Iteration 2 (updated wiki, proposal report uploaded) | ||
| − | == | + | == Project Overview == |
| − | + | Situated at the heart of SMU campus, Li Ka Shing Library was officially opened on 24 January 2006. The library is named after Hong Kong businessman Dr. Li Ka Shing, chairman of Cheung Kong (Holdings) Limited and Hutchison Whampoa Limited. The Li Ka Shing Foundation donated and endowment to the library for collections. <br> | |
| − | + | With the vision to deliver exceptional services and build dynamic relationships within the SMU community and beyond, Li Ka Shing Library actively engages in gathering feedbacks from student community. One of the common feedback gathered from student community is that library should open earlier so as to fulfill the needs for students who prefer to study in the early morning. However, operational costs and the utilization rate associated with early opening hours is a big concern for library management team. Optimal opening hours is crucial in cutting back operational costs and yet, fulfilling students’ academic needs across different time periods. <br> | |
| + | |||
| + | As such, our project will focus on analyze the traffic flow in between SMU buildings and library usage in the early mornings across different time periods so as to determine whether there is a great demand for earlier opening hours in SMU community. | ||
== Project Motivation == | == Project Motivation == | ||
| − | + | In recent years, digital disruption in every aspects of the commercial world has been prevailing. The ever-increasing trend of digital transformation can be attributed to the widespread adoption of business intelligence and data analytics approaches. Both of which are essential in facilitating organization’s decision-making process and effectively bridging the gap between IT capabilities and business functions. In Singapore’s context, Smart Nation initiative effectively drives adoption of data analytics among industry partners by harnessing the power of data technologies to create substantial business benefits. | |
| + | <br> | ||
| + | |||
| + | In a sense, the rising industry needs drive employers to look out for individuals capable of drawing insights from numerous amount of data in seek of restructuring and optimizing ongoing business processes. As a group of graduating analytics students looking for hiring opportunities, our skills developed so far are mostly in line with market needs, which sparked off our desire to embark on a career in analytics. However, due to syllabus’ constraint, skills developed in courses like, analytics foundation and data mining, are mostly in silos while in actual fact they constitutes an important component of the continuous Exploratory Data Analysis process. Meanwhile, most of our assignments and projects put too much emphasis on constructing the right model in delivering the right insight while neglecting essential steps like, data sourcing, preprocessing and iterative model refining. | ||
| + | <br> | ||
| + | |||
| + | Analytics Practicum project not only provides us with a hands-on experience on solving a real-life business problem with analytics methodologies. Most importantly, it draws linkage between skills developed through multiple courses so as to construct an integrated analytics solution. We hope to go beyond ‘low-hanging fruits’ like, simple model construction with numerous assumptions. Rather, we believe that the ‘touch-and-feel’ experience on analytics project lifecycle, will get us further down our career path in the near future. | ||
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== Project Objectives == | == Project Objectives == | ||
1. To analyse past 2-year sales data to provide an inventory management and replenishment forecasting model<br> | 1. To analyse past 2-year sales data to provide an inventory management and replenishment forecasting model<br> | ||
2. According to past 2-year sales data and Vietnam's geographical information to help sponsor to make a decision on whether it is worthwhile to set up a new warehouse | 2. According to past 2-year sales data and Vietnam's geographical information to help sponsor to make a decision on whether it is worthwhile to set up a new warehouse | ||
Revision as of 21:52, 15 January 2017
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HOME |
Current Progress
Iteration 2 (updated wiki, proposal report uploaded)
Project Overview
Situated at the heart of SMU campus, Li Ka Shing Library was officially opened on 24 January 2006. The library is named after Hong Kong businessman Dr. Li Ka Shing, chairman of Cheung Kong (Holdings) Limited and Hutchison Whampoa Limited. The Li Ka Shing Foundation donated and endowment to the library for collections.
With the vision to deliver exceptional services and build dynamic relationships within the SMU community and beyond, Li Ka Shing Library actively engages in gathering feedbacks from student community. One of the common feedback gathered from student community is that library should open earlier so as to fulfill the needs for students who prefer to study in the early morning. However, operational costs and the utilization rate associated with early opening hours is a big concern for library management team. Optimal opening hours is crucial in cutting back operational costs and yet, fulfilling students’ academic needs across different time periods.
As such, our project will focus on analyze the traffic flow in between SMU buildings and library usage in the early mornings across different time periods so as to determine whether there is a great demand for earlier opening hours in SMU community.
Project Motivation
In recent years, digital disruption in every aspects of the commercial world has been prevailing. The ever-increasing trend of digital transformation can be attributed to the widespread adoption of business intelligence and data analytics approaches. Both of which are essential in facilitating organization’s decision-making process and effectively bridging the gap between IT capabilities and business functions. In Singapore’s context, Smart Nation initiative effectively drives adoption of data analytics among industry partners by harnessing the power of data technologies to create substantial business benefits.
In a sense, the rising industry needs drive employers to look out for individuals capable of drawing insights from numerous amount of data in seek of restructuring and optimizing ongoing business processes. As a group of graduating analytics students looking for hiring opportunities, our skills developed so far are mostly in line with market needs, which sparked off our desire to embark on a career in analytics. However, due to syllabus’ constraint, skills developed in courses like, analytics foundation and data mining, are mostly in silos while in actual fact they constitutes an important component of the continuous Exploratory Data Analysis process. Meanwhile, most of our assignments and projects put too much emphasis on constructing the right model in delivering the right insight while neglecting essential steps like, data sourcing, preprocessing and iterative model refining.
Analytics Practicum project not only provides us with a hands-on experience on solving a real-life business problem with analytics methodologies. Most importantly, it draws linkage between skills developed through multiple courses so as to construct an integrated analytics solution. We hope to go beyond ‘low-hanging fruits’ like, simple model construction with numerous assumptions. Rather, we believe that the ‘touch-and-feel’ experience on analytics project lifecycle, will get us further down our career path in the near future.
Project Objectives
1. To analyse past 2-year sales data to provide an inventory management and replenishment forecasting model
2. According to past 2-year sales data and Vietnam's geographical information to help sponsor to make a decision on whether it is worthwhile to set up a new warehouse
