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Real Estate Data Analytics for Rental Property Owners

A Mini Model House Sitting on a Financial GraphAs an Arlington Heights rental property owner, you are aware that making informed decisions is the key to success. Nevertheless, gathering accurate and up-to-date information can be complicated. In the past, real estate investing was based more on speculation and educated guesses than on tangible data. If you would rather avoid the guesswork and minimize your risk, real estate data analytics is what you want. In this article, we will introduce you to the basics of real estate data analytics and show you how to use it to make good investment decisions that will increase your profits.

Defining Real Estate Data Analytics

Real estate data analytics collects, organizes, and analyzes rental real estate market data. This information can distinguish trends and patterns to help you make informed decisions about your investment property. This analysis is typically done by utilizing specialized software.

There is a range of sources of data that you can practice for your real estate data analytics. The most common source is public records, which include information on rental properties sold or listed for rent in the past. A different data source is surveys, which can offer insights into renters’ preferences. Eventually, you can likewise use data from your own rental property to track trends over time.

As you collect your data, it is crucial to organize it in a way that makes it easy to analyze. One way to do this is to produce a spreadsheet with all relevant data points. This will allow you to simply sort and filter the data to find the information you seek.

Types of Real Estate Data Analytics

As soon as you have collected your data, you will need to analyze it to extract useful information. There are a few diverse types of analyses that are frequently utilized in real estate data analytics:

  • Descriptive analytics: This analysis summarizes and describes your data. It can help identify trends and patterns in the rental market.
  • Inferential analytics: This kind of analysis goes one step further than descriptive analytics by making predictions based on the data. For instance, inferential analytics can be used to predict how differences in the rental market will affect your property’s value.
  • Predictive analytics: This type of analysis uses historical data to predict future events. Predictive analytics can forecast demand for rental properties in a certain area or predict how changes in the market will impact your business.
  • Prescriptive analytics: This type of analysis combines predictive and inferential analytics to make predictions and recommend actions that should be taken to achieve specific goals. For example, prescriptive analytics can recommend pricing strategies for your rental property based on market trends.

Benefits of Real Estate Data Analytics for Property Owners

You now know the basics of real estate data analytics let’s see how you can use it to improve your rental business. Here are a few ways that you can use data analytics to make better decisions about your single-family rental property:

  • Spot trends in the rental market: By evaluating data on rental prices and vacancy rates, you can distinguish trends in the market. This information can help you adjust your prices to maximize profits.
  • Make educated investment decisions: By employing data analytics to research neighborhoods and compare properties, you can make informed decisions about where to invest your money.
  • Reduce risk: By applying data analytics to assess the risks associated with different properties, you can minimize your exposure to potential losses.
  • Improve marketing efforts: By analyzing data on the preferences of renters, you can better target your marketing efforts and attract more qualified leads.
  • Increase profits: By using data analytics to make informed decisions about pricing, marketing, and investments, you can increase your profits.

Real estate data analytics is a strong tool that can be used to improve your rental business. Additionally, by analyzing your data, you can identify areas that need improvement and make changes to improve your rental income. Finally, by using data from surveys and public records, you can gain insights into renters’ preferences and adjust your property to appeal to them. A professional Arlington Heights property manager will have access to all the information we’ve gone over so far, as well as the necessary expertise to assess and use the data to your benefit.

If you’re not already using real estate data analytics to inform your decisions about your rental property, now is the time to start. Take advantage of this powerful tool to set up your rental investment business for success.


Real Property Management Chicago Group regularly gathers real estate data and makes assessments to give our clients the best advice available. If you’d like to join the property investors who trust us with their portfolio, contact us online or call us at 312-265-0660.

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