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Real Estate Data Analytics for Rental Property Owners

A Mini Model House Sitting on a Financial GraphAs a Madison rental property owner, you understand that making informed decisions is critical to your success. However, gathering accurate and up-to-date information can be tough. In the past, real estate investing was based more on speculation and educated guesses than on genuine data. If you’d like to evade the guesswork and minimize your risk, real estate data analytics is what you need. In this article, we will introduce you to the basics of real estate data analytics and demonstrate how you can apply it to make wise 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 help you find trends and patterns to make informed decisions about your investment property. This analysis is regularly conducted using specialized software.

There are multiple sources of data that you can use 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. Another data source is surveys, which can bring insights into renters’ preferences. Finally, you can also use data from your own rental property to track trends over time.

As you collect your data, it is imperative to organize it in a way that makes it uncomplicated to analyze. One option is to make a spreadsheet with all relevant data points. This enables you to simply sort and filter the data to find the information you seek.

Types of Real Estate Data Analytics

Once you have accumulated your data, you must analyze it to extract useful information. There are several kinds of analyses that are frequently employed in real estate data analytics:

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

Benefits of Real Estate Data Analytics for Property Owners

Now that you are aware of the basics of real estate data analytics, let’s explore how you can utilize it to boost your rental business. Here are a few examples of how data analytics can help you make better decisions regarding your single-family rental property:

  • Analyze trends in the rental market: By studying data on rental prices and vacancy rates, you can uncover trends in the market. This data can help you adjust your prices to maximize profits.
  • Make sound investment decisions: By utilizing data analytics to research neighborhoods and compare properties, you can make better decisions about where to invest your money.
  • Reduce risk: By using data analytics to identify the risks linked to 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 capture more qualified leads.
  • Enhance profits: By employing data analytics to make intelligent decisions about pricing, marketing, and investments, you can raise your profits.

Real estate data analytics is a great tool for optimizing your rental business. Aside from that, by looking at your data, you can find areas that need improvement and implement modifications to increase your rental income. Lastly, by using data from surveys and public records, you can gain insights into renters’ preferences and adjust your property to attract them. A professional Madison property manager will have access to all the information we’ve looked into so far, as well as the essential 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 effective tool to set up your rental investment business for success.


Real Property Management Omega obtains real estate data and makes assessments regularly 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 601-607-8202.

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