A leading player and provider of digital marketplace connecting several millions of consumers looking for property information and new or upcoming commercial and residential properties through its network of websites and applications. They had a requirement to aggregate construction tender information from the government/public sources across the world.
Their database provides information around global searches around rental properties, apartment rentals, apartment guides, upcoming properties for sale and rental, new projects, industry news, trends, and forecasts around the globe with unmatched search capability that is amplified by constantly refined tools and industry insights.
They identified X-tract.io as an ideal solution for their data aggregation needs. They needed technical expertise to build a robust database to dispense construction project information to customers and to track and aggregate thousands of trusted sources in real-time.
The volume of data required by the customer was huge and in addition to aggregating this data, they also wanted to perform deduplication of the data. The following were the complexity involved in the process which is why they partnered with X-tract.io
Data had to be fetched from more than 30K websites which were from different geographies (the US, Canada, UK, and Europe) and data formats also varied
Data was required to be aggregated in near real-time
Data aggregated from these 30K websites were required to be de-duped
The data experts at X-tract.io analyzed the challenges and implemented a step-by-step solution.
A single solution framework for aggregating data across five regions
Normalization of data aggregation from multiple online platforms
Unique database for different time zones
Data safety and security
The digitized output provided by X-tract.io had an accuracy of 99.56% as against the contractual standard of 95%
X-tract.io provided 47 digitized records per hour against the standards set by the customer which was only 39 digitized records per hour. There was an overall 21% increase in productivity