Data- The Good Samaritan for Real Estate in this Uncertain World

For instance, the Russia-Ukraine war has had a massive impact on the real estate sector. The construction industry has been under great financial strain due to rising petroleum prices and supply chain disruptions. The skyrocketing prices of building materials have also caused cost overruns in numerous construction projects.

This is happening just as the industry is recovering from the effects of the COVID-19 lockdown. When COVID-19 hit the world, its impact on this industry was enormous. As per the reports published by McKinsey, 66% of counties in the US have reduced or postponed infrastructure maintenance, while 54% have reduced or delayed new infrastructure projects in the last two years. The struggle for Realtors is REAL.

All these impacts, as mentioned earlier, could have been brought under control with just one solution being used enormously: The Big Data.

Data – the Knight in Shining Armour for Realtors?

Anurag Shrivastav, CEO and Founder of Lumenore, says in interaction with Zee Business that in India and many other countries, deadlines for assigned work in the real estate industry are hard to match. As a result, customer expectations could not be fulfilled. However, countries like the US follow consistent processing and utmost reliability. Customers are given several options based on their selections; the developers also give them the exact workforce schedule, timeframe, materials, and automation process schedule. They never face such challenges in completing their process right on time. This is made possible because they are good with data collection and opt for the right software solutions meant for real estate.

The real estate industry generates a considerable volume of data. In this sector, utilizing the data to yield more profit is essential, especially when staying rigid in the crowded market is challenging. Here, the data is scattered. Hence, the data must be consolidated and taken through various processes, including data lineage, creating a data lake, and data engineering. Solutions offered by Lumenore, such as building Data Universe, help in taking care of all these processes and preparing data ready to derive values from it. The insights produced from the Data Universe can help real estate professionals understand where to buy a property and when to start development without wasting time, money, and effort.

When interacting with ETCIO, Naren Vijay, EVP-Growth, Lumenore, said resource prices are frequently changing. But a substantial amount can be saved by ordering at the right time and from the right place. This can be made possible with the help of big data analytics, building a Data Universe, and helping them optimize the cost of construction.

Take a look at the crisis mentioned earlier. The Ukraine-Russia war severely affects trade routes and geopolitical alliances, influencing supply chains. This impacted a shortage of resources and increased costs. If the developers had been able to analyze the current market situation and make instant decisions to select the best resources, the losses would have been drastically reduced. Forecasting the demands and procuring materials in advance would lower the loss. The same could have happened when the lockdown was imposed worldwide with the onset of COVID-19.

Both of the situations might look different. However, when examined closely, data connected the two instances. The sector could have overcome the challenge if data had been used well. In-depth analysis of expenses, competition mapping, risk forecasts, and supply chain management could have all been done well using the data generated in this industry. Here, having an end-to-end data solution along with powerful Business Intelligence (BI) for real estate could change the current game. A BI customized for the CRE portfolio can help understand the market trends, foresee risks, and predict the demands. It gives valuable knowledge and reflects missed chances when not thoroughly or accurately interpreted.

What changes can Data Universe along with Real Estate BI bring to your business?

• Predicting Property Prices: With the assistance of big data analytics, the evaluation of any property can be done based on analysis of historical data like the age of the property, location, and condition, and can provide an evaluation in a matter of seconds for overall consideration. This gives an insight into the pricing of the property.
• Foreseeing Risks: The most significant changes can be brought to the sector through predictive intelligence for real estate. It can predict and detect anomalies in data and get real-time notifications using threshold alerts. This helps the sector to foresee the problems and find solutions in advance.
• Understanding the trends: The latest trends and requirements can be evaluated through competition mapping and constantly monitoring customer behavior. This helps the realtors to stay updated and one step ahead in the competition.
• Meeting the deadlines: Data can be a saviour for realtors when meeting deadlines. It helps identify anomalies and find better solutions to keep the work going. Here, the best part is that insights are produced instantly with the assistance of the right Business Intelligence for real estate.
• Reducing Input Costs: Forecasting the demand and procurement of resources in advance can all be handled smoothly with the help of big data analytics and solutions like predictive intelligence for real estate. This helps predict future demands and plan the procurement strategies well in advance.
• Enhancing sales: The information about the purchasers who are a good fit for their offerings may be obtained with the help of Data Universe and real estate BI, allowing the sales team to devote the proper time and effort to the prospective customers.
• Meeting Customer Needs: Customers always require alterations in the plan, which may happen even at the last minute. Data can help take immediate actions, streamline the process and meet the deadlines.

Building a Future-Proof Real Estate Enterprise

The instantaneous and contextual information generated based on current conditions and future estimates can help commercial real estate businesses plan for potential shortages and find new, more efficient ways to overcome uncertainties. Using big data analytics and the right software solutions meant for real estate to predict demand for products and services may help investors and developers place orders with the right vendors at the right time. Advanced BI solutions such as predictive intelligence for real estate have taken hold in the industry. This can use historical data, machine learning techniques, and statistical algorithms to predict future events and make better business decisions in advance.