Real Estate Data Analytics for Rental Property Owners

As a Cumming rental property owner, you certainly know that applying informed decisions is relevant to your success. Though indeed, gathering accurate and up-to-date information can be tedious. In the past, real estate investing was based more on speculation and educated guesses than on true data. If you’d rather leave out 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 exactly how you can put them to use to make excellent 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 awareness can determine idea trends and patterns to help you efficiently make informed decisions about your investment property. This analysis is simply managed by specialized software.

There are several sources of data that you can put to use for your real estate data analytics. The most widely known 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 furnish insights into renters’ preferences. Lastly, you can similarly utilize 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 not difficult at all to analyze. One way to easily do this is to set up a spreadsheet with all relevant data points. This will allow you to promptly sort and filter the data to find the information you are seeking for.

Types of Real Estate Data Analytics

By the time you have accumulated your data, you will need to analyze it to extract useful information. There are a few different sorts of analyses that are generally used in real estate data analytics:

• Descriptive analytics: This analysis summarizes and describes your data. It can help figure out trends and patterns in the rental market.
• Inferential analytics: This variety of analysis goes one step further than descriptive analytics by making predictions based on the gathered data. For example, inferential analytics can be employed to predict how changes in the rental market will modify your property’s value.
• Predictive analytics: This type of analysis employs historical data to predict future events. Predictive analytics can foresee demand for rental properties in some other area or calculate how changes in the market will have an impact on your business.
• Prescriptive analytics: This classification of analysis combines predictive and inferential analytics to make predictions and recommend moves that should be taken to obtain specific goals. Take one example, prescriptive analytics can suggest pricing strategies for your rental property based on market trends.

Benefits of Real Estate Data Analytics for Property Owners

Now that you understand the basics of real estate data analytics let’s ascertain how you can put to use these to boost and improve your rental business. Here are a small number of ways that you can employ data analytics to make better decisions regarding your single-family rental property:

• Figure out trends in the rental market: By evaluating data on rental prices and vacancy rates, you can find out trends in the market. This data can help you to adjust your prices to maximize profits.
• Make informed investment decisions: By applying data analytics to research neighborhoods and compare properties, you can make informed decisions regarding where to invest your money.
• Reduce risk: By using data analytics to observe the risks bound with different properties, you can minimize your exposure to potential losses.
• Update marketing efforts: By analyzing data on the preferences of renters, you can better target your marketing efforts and get more qualified leads.
• Boost profits: By taking data analytics to make informed decisions over pricing, marketing, and investments, you can successfully increase your profits.

Real estate data analytics is certainly a useful tool that can be made use of to greatly improve your rental business. On top of that, by scrutinizing your data, you can discover areas that need improvement and make updates to grow your rental income. Lastly, by simply using data from surveys and public records, you can get hold of true insights into renters’ preferences and renovate your property to captivate them. A professional Cumming property manager will have access to all the information we’ve gone over up to this point, including having the much needed expertise to assess and use the data to your benefit.

If you’re not employing real estate data analytics to inform your decisions about your rental property, now is the time to begin. Take advantage of this great and very helpful tool to set up your rental investment business for success.

 

Real Property Management North Point persistently gathers real estate data and makes assessments to be able to impart to our clients the best advice available. If you’re considering joining the property investors who trust us with their portfolio, contact us online or call us at 404-905-9455.