In real estate, big data analysis and machine learning

Özkem Öğüt, Founding Partner and General Manager of Indexsa.com, as a small part of a broad digital transformation of real estate technologies, including real estate, construction and living space industries noted that it started and received a total of $43 billion in investment from 2012 to 2020, although it is still below the level that should be.

Öğüt stated that Proptech includes many categories from intermediary to smart buildings and cities without intermediation to real estate trading; “The 2000s that first came to mind on the property trading side at Proptech Announcement sites that have been in our lives since the beginning of the years. Nowadays, it now aims to provide more value-added services such as insurance, mortgage referrals, value forecasting, as well as listing sites. Online real estate consultancy models that brokered trading as well as listing after listing sites began. Redfin and Compass, which recently sat on the agenda by investing with a record valuation of $4.4 billion, are the first to come to mind in this area. After this model, the model is called “ibuyer” in the world and where real estate was bought by the company and then profits from the sale are made. We have recently begun to see examples of this in our country. We see the emergence of technological platforms that support the completion of the transaction by bringing together buyer and seller in the real estate sector. Video calls and real estate visits, platforms providing 3D footage, and online valuation tools and real estate data analysis platforms including Index examples we can count.

Big data analysis and machine learning in real estate

The term Big Data, which is used as Big Data in Turkish, has become very popular in recent years, although it has been in our lives since the 1990s. When it comes to Big Data, it comes to mind the collection of high volumes of data from internet technologies and different sources, and meaningful analytical conclusions from this high-volume data. The most prominent feature of the concept of Big Data is the necessity of innovative solutions for storing, storing and analyzing this high volume and different types of data collected from different sources. Today, there is so much data that can be collected, and the data set is so complex that traditional data analysis technologies are inadequate in analyzing this data. As a result, new approaches began to be used. The reason why the concept of Big Data has become so popular is the meaningful results that will be obtained by analyzing this high-volume data obtained from so many different sources. These results can find use in many different areas, from future-oriented forecasting of sales to epidemic prevention or reducing the crime rate.

Data analysis in real estate

On the one hand, discussions continue around the world about the need to receive more support in real estate value estimation than statistical methods, while new analysis models are being produced. Data analysis tools allow us to analyze much larger data in very short periods of time and achieve its relationship with different factors.

An automated real estate value forecast model that is not similar in Turkey

The Endeksa is an automated real estate value forecast model that has similar analogues abroad but is not similar in Turkey. The map offers sales, lease data, recycling times, demographic information of residents in the region, socio-economic status, living areas in the region. It also includes detailed information such as housing sales customs, e-commerce density, household income level in the region. Users can also learn the net value of housing by specifying the details of the dwelling in a particular region.

Our goal is to support all parties in need of this field with technology

In the Endeksa, Öğüt expressed his opinion that we believe in the technology-oriented development of the real estate sector and we aim to support it; “But we see examples in the world when we examine the examples Of course, the purchase of real estate can not be fully ensured by technology. Therefore, our goal is to support all parties in need of this area with technology, especially individuals and real estate consultants.”

The Endeksa is growing close to 100% each year

The Endeksa moved the Automated Valuation Model (AVM), which has an example of only 5 countries in the world, to Turkey and filled a significant gap in the sector. Endeksa combines data from different sources and creates real estate value and location data for the whole Turkey using machine learning methods. the year is growing close to 100%. Currently more than five thousand real estate consultants and about one hundred thousand individual customers, as well as services to valuation firms, real estate developers, retail firms, financial institutions and public institutions giving.