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Big Data Analytics
RYAN MAHONEY
Proptech Trends 2024:
2 Ryan Mahoney
Proptech Trends 2024:
Big Data Analytics
Big data analytics and predictive modeling are being increasingly used
in the real estate sector to provide invaluable insights into the market.
Investors can now identify the regions expected to see significant
increases in property values by looking at data on upcoming city
infrastructure projects, for example.
Analyzing Datasets
Proptech companies use big data
analyticstointerrogatehugedatasetsand
gain actionable insights to help investors
spot potential growth opportunities
and optimize their portfolios. Predictive
modeling can also assist real estate
professionals in anticipating and
estimating increases in property values.
The correlation between
city development
initiatives and changes
in property value is more
marked in metropolitan
areas that deploy data-
driven methods.
3
Ryan Mahoney
City Development
Initiatives
The correlation between city development initiatives
and changes in property value is more marked
in metropolitan areas that deploy data-driven
methods. This emphasizes the significance of big
data analytics tools in the real estate industry.
Applications of Big Data
in the Real Estate Sector
Some common applications of big data
analytics in the real estate industry include
demand forecasting, tenant screening, customer
segmentation, and targeted marketing campaigns.
Such analytical tools can also be used to collect
and analyze historical data on building systems
like thermostats, utilities, and HVAC to manage
expenses, identify inefficiencies, and undertake
predictive maintenance.
For more information about this topic, visit
the blog of Ryan Mahoney of Dubai, UAE.

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Proptech Trends 2024: Big Data Analytics

  • 1. Big Data Analytics RYAN MAHONEY Proptech Trends 2024:
  • 2. 2 Ryan Mahoney Proptech Trends 2024: Big Data Analytics Big data analytics and predictive modeling are being increasingly used in the real estate sector to provide invaluable insights into the market. Investors can now identify the regions expected to see significant increases in property values by looking at data on upcoming city infrastructure projects, for example. Analyzing Datasets Proptech companies use big data analyticstointerrogatehugedatasetsand gain actionable insights to help investors spot potential growth opportunities and optimize their portfolios. Predictive modeling can also assist real estate professionals in anticipating and estimating increases in property values.
  • 3. The correlation between city development initiatives and changes in property value is more marked in metropolitan areas that deploy data- driven methods. 3 Ryan Mahoney City Development Initiatives The correlation between city development initiatives and changes in property value is more marked in metropolitan areas that deploy data-driven methods. This emphasizes the significance of big data analytics tools in the real estate industry. Applications of Big Data in the Real Estate Sector Some common applications of big data analytics in the real estate industry include demand forecasting, tenant screening, customer segmentation, and targeted marketing campaigns. Such analytical tools can also be used to collect and analyze historical data on building systems like thermostats, utilities, and HVAC to manage expenses, identify inefficiencies, and undertake predictive maintenance.
  • 4. For more information about this topic, visit the blog of Ryan Mahoney of Dubai, UAE.