Realty

About the Project

This company needed to modernize how its real estate agents obtained information about properties. Before working with us, the process was done manually and depended on the real estate agent's word of mouth, knowledge, and experience. This project required the use of Big Data to do business intelligence from the information collected and processed.

The project's objective was to generate alarms when a property met the specific characteristics real estate agents were looking for. This was archived by collecting information from databases and organizing it so that they would activate the alarms if these characteristics were met. This process improved the company's reaction speed allowing it to win important businesses, putting them at the forefront of its industry, thanks to its competitive advantage.

The Challenge

Create a Database that would be constantly updated and could process Data from multiple sources and send alerts to realtors when identifying properties of interest to the business

The Process

• The first need was to identify the sources from which the data was collected.

• Understand the nuances and dependencies of data sources to process them according to the client's needs. 

• The raw data must be processed according to the conditions established by the client. When relevant data is found and presented to the client, the non-relevant data is filtered.

• The processed data is presented to the client in an easy-to-understand format, where they can identify the different alerts of the properties and, according to this information, make decisions according to how to proceed with the business.

The Results

Realty increased the efficiency of their realtors in tracking properties of interest. Obtaining a competitive advantage over its competitors who still use manual methods and an increase in successfully closed businesses thanks to the input received from data processing.