ANLY482 AY2017-18T2 Group26 Project Overview

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Project Overview

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Geospatial Analysis

Geospatial Analysis is the technique of using geospatial data – from mobile devices, location sensors, social media, etc – to build maps, graphs, statistics and analytical models to make complex relationships understandable. The benefits of using geospatial analysis is that it is a step above regular analytical insights; more engaging and more understandable and recognizable, it helps managers move from hindsight to foresight and develop location-based targeted solutions. Focussing on this aspect of geospatial analysis, we aim to come up with a method that takes into consideration past location data, and its impact on other aspects of the business, to help optimize future location based decision making.

(Referenced: Geospatial Analytics The three-minute guide. (2012). Retrieved from https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Deloitte-Analytics/dttl-analytics-us-ba-geospatial3minguide.pdf)

Company PQR

PQR is a Singapore based company with over 100 branches spread across Singapore as well as a growing online presence. They have a pronounced focused on providing aid to the community. Their employees are committed to helping the community albeit the elderly, challenged youth or the environment. The company itself, contributes over 60% of their profits to the betterment of the community each year.

Motivation & Objectives

PQR has been facing a road block while deciding on locations for their upcoming branches. They have conquered central Singapore and need a smarter method to filter out their possibilities. Therefore, they have been looking to create a software that can aid them by suggesting locations based on data analysis. Taking into consideration mobile and real estate data, and its impact on profits and sales, they would like to expand their reach to unsaturated areas while knowing the financial impact of doing so. Our project will use this data and find its relationship with the financial performance of PQR branches all over Singapore. Using this, we aim to find the optimal weightage of variables (real estate and mobile data) to supply the software with, allowing it to suggest a location that is most in line with the client’s goals. Although the software hasn’t been created yet, it will use this as an input, and provide an output that is customized to the client’s needs.

Therefore, our objectives are: To learn the correlations between variables from real estate and mobile data, and financial data pertaining to Pools. To develop an equation that weighs these variables in a way that optimizes the financial outcome of potentially suggested branches. To create a dashboard that summarizes these relationships and behaves like an interactive visualization of our formed equation. This is in order to give managers an overview of the most influential variables and their effect on the financial outcome which will help them decide on a location for their novel branch.