# Where is the Goldmine? Finding Promising Business Locations through Facebook Data Analytics

**Authors:** Jovian Lin, Richard Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, Agus Kwee  
**arXiv:** [1609.02839](https://arxiv.org/abs/1609.02839)  
**Date:** 2016-09-09  
**Summary page:** https://www.summarizepaper.com/en/paper/1609.02839v1/

## Key points

- Importance of selecting an optimal physical location for businesses
- Utilization of publicly available Facebook Pages data to evaluate a user-selected physical location
- Analysis of 20,877 food businesses in Singapore to extract key factors such as business categories and neighboring businesses
- Development of a robust predictive model for estimating the popularity of a business location
- Demonstration that neighboring businesses play a crucial role in accurate prediction
- Practical application through an interactive web application system
- Valuable insights for entrepreneurs looking to establish successful businesses by leveraging data analytics to identify promising locations

## Summary

In the study titled "Where is the Goldmine? Finding Promising Business Locations through Facebook Data Analytics," authors Jovian Lin, Richard Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, and Agus Kwee delve into the importance of selecting an optimal physical location for businesses. The paper highlights the significance of choosing a suitable location by utilizing publicly available Facebook Pages data to evaluate a user-selected physical location in relation to a specific type of business. Through an analysis of 20,877 food businesses in Singapore, the researchers examine key factors such as business categories and neighboring businesses to extract relevant features. They then develop a robust predictive model for estimating the popularity of a business location. The experiments conducted demonstrate that neighboring businesses play a crucial role in accurate prediction. Additionally, the authors showcase the practical application of their approach through an interactive web application system. This research provides valuable insights for entrepreneurs looking to establish successful businesses by leveraging data analytics to identify promising locations for their ventures.