DataRobot Case Studies The National Association of REALTORS® Brokers Value for Members with DataRobot

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	The National Association of REALTORS® Brokers Value for Members with DataRobot DataRobot

The National Association of REALTORS® Brokers Value for Members with DataRobot

DataRobot

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Predictive Maintenance
Services	Data Science Services
Challenge	The National Association of REALTORS® (NAR) is America’s largest trade association, representing over 1.4 million members around the country. Their members include brokers, salespeople, property managers, counselors, and others engaged in all aspects of the real estate industry. With so many members from unique backgrounds with varying professional interests, each looking for something different out of their membership, delivering value to them requires NAR to truly know their members well. To do that, NAR turned to the data. However, the association was trying to become more data-driven, and so was focused on higher-level objectives like understanding its members better and solving business problems that impacted its members. But because of the nature of how the two data scientists operated — without a centralized team or the appropriate resources - communication and feedback loops around data science projects were inefficient, and negatively impacted the ability of the data scientists to deliver value. Read More
About Customer	The National Association of REALTORS® is America’s largest trade association, representing over 1.4 million members around the country. Their members include brokers, salespeople, property managers, counselors, and others engaged in all aspects of the real estate industry. Its goal is to ensure that its members are at the forefront of the real estate industry, impacting public policy, educating clients on emerging technologies, real estate markets and best practices, and improving the communities in which they live. With so many members from unique backgrounds with varying professional interests, each looking for something different out of their membership, delivering value to them requires NAR to truly know their members well. Read More
Solution	NAR evaluated various data science and machine learning tools that could both increase their productivity while also enhancing AI adoption throughout NAR. They eventually entered into a Proof-of-Concept with DataRobot, with a test use case to predict which of their members were most likely to attend the association’s REALTORS® Conference & Expo, the largest annual event for the most engaged real estate professionals. The team’s goal was to identify a segment of members most likely to attend the conference, and with the support of the Marketing and Communications team encourage those members to attend and check out the educational and networking opportunities available at the conference. Using DataRobot’s enterprise AI platform to substantially boost data science productivity and efficiency, Aleksandar’s team builds and deploys predictive models to help NAR make more optimal decisions, and ultimately better serve its members. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Predictive Maintenance

Services

Data Science Services

Challenge

The National Association of REALTORS® (NAR) is America’s largest trade association, representing over 1.4 million members around the country. Their members include brokers, salespeople, property managers, counselors, and others engaged in all aspects of the real estate industry. With so many members from unique backgrounds with varying professional interests, each looking for something different out of their membership, delivering value to them requires NAR to truly know their members well. To do that, NAR turned to the data. However, the association was trying to become more data-driven, and so was focused on higher-level objectives like understanding its members better and solving business problems that impacted its members. But because of the nature of how the two data scientists operated — without a centralized team or the appropriate resources - communication and feedback loops around data science projects were inefficient, and negatively impacted the ability of the data scientists to deliver value.

About Customer

The National Association of REALTORS® is America’s largest trade association, representing over 1.4 million members around the country. Their members include brokers, salespeople, property managers, counselors, and others engaged in all aspects of the real estate industry. Its goal is to ensure that its members are at the forefront of the real estate industry, impacting public policy, educating clients on emerging technologies, real estate markets and best practices, and improving the communities in which they live. With so many members from unique backgrounds with varying professional interests, each looking for something different out of their membership, delivering value to them requires NAR to truly know their members well.

Solution

NAR evaluated various data science and machine learning tools that could both increase their productivity while also enhancing AI adoption throughout NAR. They eventually entered into a Proof-of-Concept with DataRobot, with a test use case to predict which of their members were most likely to attend the association’s REALTORS® Conference & Expo, the largest annual event for the most engaged real estate professionals. The team’s goal was to identify a segment of members most likely to attend the conference, and with the support of the Marketing and Communications team encourage those members to attend and check out the educational and networking opportunities available at the conference. Using DataRobot’s enterprise AI platform to substantially boost data science productivity and efficiency, Aleksandar’s team builds and deploys predictive models to help NAR make more optimal decisions, and ultimately better serve its members.

Impact #1	The team’s productivity has increased substantially.
Impact #2	They are working with other groups in the association to deliver value through a variety of additional high-impact use cases.
Impact #3	The team has been able to bridge the gap to non-technical end users.

Impact #1

The team’s productivity has increased substantially.

Impact #2

They are working with other groups in the association to deliver value through a variety of additional high-impact use cases.

Impact #3

The team has been able to bridge the gap to non-technical end users.

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Overview

The National Association of REALTORS® Brokers Value for Members with DataRobot

Operational Impact