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Using Big Data Analytics to Reduce Bad Debt

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Duration:60 minutes

Abstract:

Data is being created at a staggeringly fast pace and is proving incredibly beneficial, pushing intuition-based decision-making in property management to the wayside. Property management companies relying on big data to move their business forward are seeing an immediate impact – most notably in the reduction of bad debt. The role of analytics is shifting from simply providing reports to propelling data-driven insights and recommendations, helping these companies progress faster and become more successful. In this webinar, we’ll discuss the ways leaders are using analytics to influence organizational decisions that promote growth and efficiency.

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Speakers

Ryan Nichols

Consultant, Global Housing Analytics

Ryan Nichols, who has been leading industry and customer analytics at TransUnion’s Housing Analytics team for more than four years, gives property management and owner customers insights into the dynamics of residents at the property, portfolio and industry levels with a keen focus on telling stories with the data.

Ryan has a strong background in economics and joined TransUnion after years in the consumer retail industry, during which he helped Fortune Global 100 companies make critical decisions around reducing costs, increasing revenue and developing operational strategies that improve efficiency without impacting customer satisfaction.

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