A major real estate service provider company wanted to streamline its inefficient real estate agent-servicing process. The existing process required multiple data analysts, with help from the in-house IT support team, to manually collect data from 20+ different data sources. Data received from 20+ sources was in different quality, format and had multiple other challenges. Internal IT support system was not robust and it further slowed the entire process. Also, as it was a manual process – analysts were able to process only a limited number of records, based on priority, creating backlog and struggled to serve their existing and new set of customers. The company approached AIMLEAP – Outsource Big Data help in streamlining its processes and providing end to end solution.
APPROACH TO SOLUTION
We quickly developed a proof-of-concept for suggested a solution based on Robotic Process Automation to replace the company’s manual processes for collecting data from 20+ sources integrated to a base IT support system.
Saved $40000 per year.
Increased data handling capacity by 60%
Average data processing time reduced by 85%
Increased ability to access data in real time