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1. Role of Predictive
Analytics in Real Estate
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2. Over the last few years, predictive analytics has played an
increasingly important role in both business and consumer contexts,
helping us make more informed decisions in our daily lives. Now,
predictive analytics has made its way into the world of real estate,
where it’s being applied to help real estate agents and other
professionals make smarter property listings, price homes more
accurately, attract potential buyers through more relevant
advertising, and ultimately drive up home values in their area as well
as home sales volume overall.
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3. www.hiddenbrains.com

4. A type of analytics that uses statistical analysis and other data-mining
techniques to forecast future trends. Predictive analytics helps
companies anticipate shifts in consumer preferences, product
demand, employee behaviors, fraud patterns, and a host of other
things—and take action proactively.
Some real estate software solutions employ analytics by taking
historical sales data and mapping it against current market
conditions to identify potential business risks. Used effectively,
predictive analytics can help real estate agents understand how best
to deal with potential problems before they arise.
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What is Predictive Analytics?

5. With real estate becoming increasingly data-driven, predictive
analytics has become an essential element for any real estate
software solution. Instead of simply relying on historical data to
analyze trends and project future performance, analytics incorporate
statistical modeling techniques into a real estate software
application. Thus, by analyzing past transactions and comparing
them to current market data, predictive models allow you to see how
your business can grow or shrink based on several potential
scenarios.
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Importance of Predictive Analytics in Real
Estate Technology Solutions

6. Get a competitive edge
Improved revenue opportunities
Enhanced fraud detection
Optimized processes
Increase asset utilization
Improve production capacity
Quality controls
Improved collaboration
Reduce risks
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Top Benefits of Using Predictive Analytics Real
Estate Solutions

7. Forecasting is a prediction about a variable’s future values, such
as predicting how much inventory will remain unsold by quarter.
The analysis uses data to predict patterns or relationships, like
determining if homes that sold quickly last year are more likely to
sell quickly again next year.
Most real estate firms use predictive analytics for two main purposes:
forecasting and analysis.
In both cases, algorithms that incorporate time series models can
help identify which variables have an effect on each other; multiple
regression analysis can also be used to determine which factors
contribute most strongly.
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Types of Predictive Analytics

8. The biggest challenge in using predictive analytics in real estate is
getting people to talk about it. It’s a nascent field, so real estate
agents and owners don’t know to ask for it.
The second-biggest challenge is getting people to realize what
they can get out of it (generally speaking, agents/owners expect
predictive analytics tools to predict prices when that’s not really
possible).
A third difficulty comes from showing potential users just how
easy some AI solutions are—just as many people think they won’t
be able to learn how to use one product, they think all products
will be too complicated. This isn’t true!
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Roadblocks in Using Predictive Analytics in
Real Estate

9. In just a few years, predictive analytics has advanced from an emerging
technology to standard real estate technology solutions. It will continue to gain
traction in the real estate industry by improving data capture and analysis
across both sides of real estate transactions.
Conclusion
Finally, with real estate being one of the world’s oldest professions, it is only
natural that big data and predictive analytics would soon make their way into a
space where demographics and lifestyle matter. There are a number of new
technologies and software solutions that are being offered by companies
offering real estate software solutions for agents to learn about potential
buyers for their properties using current trends on mortgage rates, job
availability, retail sales growth, and other factors.
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Future of Predictive Analytics in Real Estate

10. Why Choose Hidden Brains Predictive Analytics
Services for Real Estate Solutions?
18+ Years of Developing Technology Solutions
500+ Agile-Enabled Professionals
1000+ Mobile Applications
4000+ Web Apps
6000+ Projects
Check our Portfolio
Check our Case Studies
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11. Contact Us
Website: www.hiddenbrains.com
Email: biz@hiddenbrains.com
Skype: hiddenbrains
USA: +1-323-908-3492
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