Difference between revisions of "ANLY482 AY2017-18T2 Group 11 Project Overview"
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| − | + | Technology has opened the floodgates for users globally to amass and transmit data, providing millions with unprecedented opportunities and benefits. This has given rise to the field of Data Analytics, which has become an important tool for companies to improve the efficiency in their operations. However, some companies are still lacking data analysis capabilities and often find it time-consuming to visualise, modify and interrogate data – especially when data is arising from more than one source such as machinery sensor, mobile devices, wearables, weblogs etc. | |
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| + | While big data presents opportunities for many companies to leverage on, it requires a certain level of technical skill in order to successfully capitalise on this opportunity. The lack of technical capabilities within the company to derive operational solutions from data is a problem that resonates strongly with the sponsor company, much like many others. With the company slowly gaining foothold in the industry, it is imperative for the company to enhance itself by analysing its data and obtain solutions to counter its high operational costs | ||
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| style="background-color:#235778; font-weight: bold; text-indent: 15px; border-left: 15px solid #4BB9FF" | <font color="#FFF" size=3 > Data Provided </font> | | style="background-color:#235778; font-weight: bold; text-indent: 15px; border-left: 15px solid #4BB9FF" | <font color="#FFF" size=3 > Data Provided </font> | ||
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The data provided is obtained from Company ABC’s database server and this database is updated whenever parcels are being received and delivered. The data given will be 2 years’ worth of delivery data in the Central and Western parts of Singapore and this adds up to approximately 750,000 rows of data points. It will contain details such as the delivery address, quality, date, etc… | The data provided is obtained from Company ABC’s database server and this database is updated whenever parcels are being received and delivered. The data given will be 2 years’ worth of delivery data in the Central and Western parts of Singapore and this adds up to approximately 750,000 rows of data points. It will contain details such as the delivery address, quality, date, etc… | ||
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| − | + | Based on the problem statement our sponsor have given to us, we have derived 3 main objectives for this project. The 3 objectives are: | |
| + | # Identify other possible ways to minimise operational costs for the company | ||
| + | # Identify the optimal number of Contracted Drivers that Company ABC would require | ||
| + | # Minimise failed delivery by identifying erroneous forms before goods are being dispatched | ||
| + | The objectives and problems listed can be summarised as following : | ||
| + | [[Image:T.W.O Objective.JPG | 700px ]] | ||
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Revision as of 18:39, 14 January 2018
| HOME | PROJECT OVERVIEW | ANALYSIS & INSIGHTS | PROJECT MANAGEMENT | DOCUMENTATION | ANLY482 MAIN |
| Motivation |
Technology has opened the floodgates for users globally to amass and transmit data, providing millions with unprecedented opportunities and benefits. This has given rise to the field of Data Analytics, which has become an important tool for companies to improve the efficiency in their operations. However, some companies are still lacking data analysis capabilities and often find it time-consuming to visualise, modify and interrogate data – especially when data is arising from more than one source such as machinery sensor, mobile devices, wearables, weblogs etc.
While big data presents opportunities for many companies to leverage on, it requires a certain level of technical skill in order to successfully capitalise on this opportunity. The lack of technical capabilities within the company to derive operational solutions from data is a problem that resonates strongly with the sponsor company, much like many others. With the company slowly gaining foothold in the industry, it is imperative for the company to enhance itself by analysing its data and obtain solutions to counter its high operational costs
| Data Provided |
The data provided is obtained from Company ABC’s database server and this database is updated whenever parcels are being received and delivered. The data given will be 2 years’ worth of delivery data in the Central and Western parts of Singapore and this adds up to approximately 750,000 rows of data points. It will contain details such as the delivery address, quality, date, etc…
| Project Objective & Goal |
Based on the problem statement our sponsor have given to us, we have derived 3 main objectives for this project. The 3 objectives are:
- Identify other possible ways to minimise operational costs for the company
- Identify the optimal number of Contracted Drivers that Company ABC would require
- Minimise failed delivery by identifying erroneous forms before goods are being dispatched
The objectives and problems listed can be summarised as following :
| Methodology |
Currently in Progress
| Technology Used |
Currently in Progress
