The National Association of REALTORS® is America’s largest trade association, representing over 1.4 million members around the country. Members include brokers, salespeople, property managers, counselors, and others engaged in all aspects of the real estate industry. With such a large membership to serve, it’s important that the association deliver value and serve its members by making more optimal decisions.
The association’s data science team had been operating without a centralized team or the appropriate resources. Communication and feedback loops around data science projects were inefficient and negatively impacted the ability of data scientists to deliver value.
After evaluating several data science and machine learning tools, the team entered into a Proof of Concept with DataRobot, determining that it was the best solution to help them answer questions about how to design use cases, how data needs to be structured, and how to deploy models.
Read this case study to learn how the organization used DataRobot to help answer one of its most pressing business questions, in addition to increasing the size and efficiency of their data science team.
About the Author:
Gareth Goh is the Customer Marketing Manager at DataRobot. He was previously the Web Director at DataRobot, and has also worked at several different tech startups in the Boston area in various marketing roles. Gareth has an M.S. in International Relations and a B.S. in Journalism from Boston University.