Big data is transforming the real estate industry, just like any other. With a wealth of data collected from multiple sources – developers, property agents, as well as property buyers and sellers – decision makers ultimately depend on data to gather insights and make informed decisions. In today’s data-driven culture, the real estate industry understands that unlocking data to gain insight is key.
We are pleased to share a case study on iProperty, an online platform that aims to help their customers – property developers, real estate agents, and financial institutions – with data-driven information. iProperty Group owns multiple market leading websites designed for the property market in Asia. The company has dedicated sites for Malaysia, Thailand, Indonesia, Hong Kong, Philippines, and Singapore, generating more than 1.5 million data points per day (with over 4 million unique site visitors each month).
In this case study, iProperty Group’s Chief Information Officer, Harmit Singh shares how they were able to turn big data into market intelligence, thereby providing customers with value-add services. Harmit Singh explains, “it’s about driving decision making based on data. In many cases, the data helps us get into the door with customers, and Tableau is definitely a part of that. It really gets our customers’ attention. Their response is then, ‘what else do you have?” With Tableau, the team at iProperty now delivers interactive visualizations to customers and the response has been gratifying. Additionally, divisions across the company are beginning to use Tableau to drive improvements internally.
Even iProperty’s parent company, REA Group, a leading digital advertising company specializing in real estate saw the need to enhance direct access to data to drive creative problem solving and to have a competitive edge over others, making sure data is promptly and quickly turned into engaging, interactive visualizations for customers to enjoy.