ANLY482 AY2017-18T2 Group18/Project Overview
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Jonathan: Currently, big data is the most happening thing in the market. Its application varies form profiling customer based on what they buy to using it to solve crimes. As someone who is intending to pursue a career path in this field, this project will no doubt be very useful to me as I will be able to apply what I have learnt so far in a real-world scenario. This will provide me with insights on how through the analysis of past data, I am able to influence a company’s current and future performance.
Soma: I am excited that the analytics practicum gives me the opportunity to put into practice analytical methods and techniques that I have learnt and concurrently studying, to a real-world business. Such supervised practical application will provide me with a first-hand experience on the increasing use of data analytics to discover business issues and to drive business strategy in an organisation. Since I have a strong inclination towards pursuing a career path related to this field, I want to understand the field of application for data analytics in helping companies solve real world challenges.
Yea Ram: After I have decided on talking up the Data Analytics second major, the past two years of taking related modules and seeing the needs of the skills that I learnt through them in the industry during my internship have been an amazing journey. As I am about to embark on a career related to Data Analytics upon graduation, I am beyond excited to have a sneak preview of my future work with my trusted friends and under the guidance of the school. I wanted to take Analytics Practicum in my last semester as this is a tremendous learning opportunity for me to recap and apply all that I have learnt in both my Accounting and Data Analytics modules. I am ready to make mistakes, listen to advice and to learn from them ultimately.
Knowing the high level of importance of cost estimation in LS 2’s present business model, the team aims to develop a more structured and reliable cost estimation model based on past data. From a business point of view, we are keen to find out what are the key drivers of cost incurred for each project site type. Through this, we hope to assist the client in the decision to bid for a project site after they obtain details regarding it. Following are our analytical objectives in detail.
- To understand expense patterns
- To identify key attributes of project sites
- To discover relationship between project site characteristics and expenses incurred
- To introduce a cost estimation model that can complement the management in deciding the bid amount
