Data analytics solution in real estate sector: Endeksa.com

Görkem Öğüt, the founding partner and general manager of the Endeksa, expresses that the need for accurate information in real estate markets, big Data management, fast and reliable spatial and financial analyses increases with each passing day.

Advice from the end-user to real estate agents, valuation specialists, valuation agencies, domestic and foreign investors from public institutions to organizations operating in the capital and banking market for all actors in terms of property It is important to take advantage of technology in decision-making processes and emphasizes that specialization in this field becomes an integral element of competition.

Index DTS and Endeksa expert network

When establishing the Endeksa, the output points in the real estate sector, the need for data and the lack of data stating that the advice, records: "The Endeksa is producing facilitating technologies for all relevant parties in Turkey's real estate sector. Index appraisal Tracking System (DTS) and Endeksa specialists can quickly and easily collect data from the field and generate reports and access to regional analyses. The Endeksa DTS also enables valuation firms to follow the valuation process. Now all of Turkey's widespread Endeksa specialists are equipped with this technology. 30% of all appraisal specialists in Turkey are registered with the Endeksa expert network. "

Endeksa.com

The Endeksa, which operates as a technology and data-driven real estate valuation platform, automatically shows the sales and lease values of residences across Turkey. The Endeksa is instantly accessible to users, provinces, districts, neighborhoods or narrower-scale housing sales and lease values, and can also examine value change trends over time.

Öğüt says: "The Endeksa is a comprehensive B2B and B2C solution that can cater to all segments of the real estate sector at the same time on an individual, professional and institutional level. The Endeksa database is updated momentarily with the researches made by the appraiser in all provinces in Turkey, with close to 600 indices. This information is analyzed primarily, and is being passed through consistency and accuracy checks. Data that does not reach adequate level of reliability is not included in the analyses. Then, using the Endeksa machine learning methods, he regularly builds value forecasting models at a regional level. These models estimate the value based on the criteria entered by the user. The Endeksa, which currently produces an automatic value estimate for residences only, will offer the users the value estimate for the plots and offices in a very short time. "