View ALL Listings and Transactions Compare Areas/Projects/Properties Price Trends Heat Maps/Location Reports REIDIN’s flagship product is the country specific online real estate business information portal.
All the data and information collected and collated by REIDIN can be accessible through these online products:
• Access Property Listings from Multiple Sources (LMS),
• Transactions, Survey Price Comparables,
• Search a vast property database,
• Uncover property price and sales trends,
• Better understand your neighbourhood,
• Acquire local intelligence,
• Benefit from property intelligence to make sound decisions,
• Protect your investment with access to precise information,
• Yerel, ülke ve internet medyası dahil tüm sektör haberleri bulunmaktadır.
Contact us to get more information about our Products & Services
REIDIN Proprietary REAL ESTATE INDICES are designed to be reliable and consistent benchmarks of property prices and trends in selective Emerging Countries.
REIDIN’s Index methodology has been developed and monitored internally by established academicians and in-house industry experts who form a part of REIDIN’s Property Indices Oversight Committee. The committee reviews and recommends changes in qualification of properties, data collection and collation methodologies, index construction and calculation policies and procedures, monthly index production review and other actions necessary to assure statistical accuracy and integrity.
- Turkey: Istanbul, Ankara, Izmir, Kocaeli, Bursa, Adana, Antalya
Being a specialized real estate information services company, REIDIN solutions are backed by a robust data collection, research and management system.
REIDIN’s approach is underlined by strong Real Estate Industry know-how coupled with experienced field data collection and survey teams in the local markets.
In addition, a diverse and global client mix of bankers, valuers, developers, agents gives REIDIN an edge in understanding the unique data requirements of each client group and hence design highly customized and tailored solutions.
Since Data is never static, REIDIN’s Data system is designed to be time sensitive to mirror the actual market conditions. REIDIN provides Data Collection, Collation, Research and Analysis Services ToFinancial Institutions, Governments, Agents/Consultants, Developers.
Project: Dubai Real Estate Market Data Collection
Objective: More Than 100 attributes like Property Name, Property Type, Property Sub-Type, Property Sector (For Office Property), Google Map Lat., Google Map Lon., Open Date (Year-Month-Day), Building Height (Meter), Number of Floors, Floor Description, Floor Height, etc...
Data Fields: REIDIN Endeks verileri, Türkiye genelinde makro ve mikro ölçekteki finansal göstergeler.
Methodology: Along with Field Research, Desktop research has been done to get the most accurate and current data. Different techniques were adopted to get the data.
Benefits:
- Outsource your data collection and collation work to REIDIN
- Save money and effort by outsourcing your data collection work to REIDIN
- Keep your data and information in clean, structured and secure online platforms
Project: Building aTurkey Socioeconomic Rating and Index System.
Objective: Socio-Economic Ranking (SER) is designed to be a reliable and consistent benchmark of location based comparative socio-economic rankings and ratings. Main purpose of SER is to rank areas based on livability of the area, domestic population's wealth and education level.
Data Fields: Sales Prices and Rental Values for Wealth rank: Wealth is one of the most important input for determination of regional level of welfare in Socio-Economic Ranking. Periodical median sales prices and rental values used to determine regional wealth level.
Dwelling Density for Livability Level: Turkey Statistical Institute (TSI) Address Based Population Registration System (ABPRS) is integrated into analyses of dwelling density on district and county level. The outcomes of previous research showed that while districts with high density level are on lower positions, those ones with lower density levels are taking place on upper positions with respect to welfare level.
Educational Level and Period for Cultural Level: Turkey Statistical Institute (TSI) Address Based Population Registration System (ABPRS) is integrated into analyses of education level and education period on district and county level.
Methodology: As a result of algorithm generated with the use of sales prices, rental values, population density, dwelling density, educational level and educational period variables, SER coefficients for every single area is identified. These coefficients are clustered by use of K-Means algorithm. K-means clustering algorithm is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean.
SER coefficients are being identified for each area and then clustered into 9 grades as A+, A, A-, B+, B, B-, C+, C, C- by using K-means algorithm. Grades indicate the transcendence of locations in among themselves. The REIDIN.com SER represents the growing of each geographical area throughout bi-annually.
Benefits:
Using for,
a. Customer segmentation,
b. Prioritization,
c. Regional categorizations and for many other subject meets the necessity of the sectoral actors. Besides, helps with outsourcing your data collection and collation work; saving money and effort; keeping your data and information in clean, structured and secure online platforms.
REIDIN built a set of intelligent data & analytics driven valuation and risk management solutions for its clients through its extensive data and information platform updated almost daily.
REIDIN provides specialized Valuation and Risk Management Solutions to:
• Financial Institutions: Banks, Mortgage Financiers and Insurance Companies
• Valuation Companies and Consultants
• Government Agencies: Land & Property Registration Departments, Municipalities, Tax Authorities
• Non-Profit Associations
REIDIN Valuation solutions are based on the comparables (transactions, listings), indices and proprietary property data collected by REIDIN Data & Research Teams and Information Partners. Based on internationally acknowledged methodologies and in-house developed analytical systems REIDIN provides:
• AVM – Automated Valuation Model
• Portfolio Analysis
• Indices and Benchmark Analysis
In addition to automatic data driven valuation services REIDIN has built up a strong network of Valuers and Surveyors who can provide on the field actual valuation and surveying services.
REIDIN provides a cost effective solution comparing to market rates due to its mass valuation request business potential.
Project: Managing mass property portfolio within ROI (return on investment) financial perspective with current values.
Objective: Rent, sell or invest decision making and getting existing rent and sales value information about mass property portfolio.
Data Fields: Quantitative variables;
• Number of room
• Number of bathroom
• Floor no
• Total floor
• Building age
Qualitative variables;
• Lift
• Gated community
• Security
• Parking garage
Methodology:
Three types of automated property valuation methodologies are used in PVA:
A. Indexation
Is a calculation by the help of REIDIN Residential Property Price Index (RPPI)* of selected area/district/building, shows the historical change between the selected “Original Purchase Date” and the current “Date”, and then sets the “Price/Size” and “Median Price”.
B. Listings
Is a calculation by using asking price listing data set** for the selected period. Uses the whole data set regarding the filtered property attributes (Address, Activity Type, Property Type, Date, Size, Number of B/Room etc). REIDIN PVA
C. REIDIN AVM
Is a statistical calculation engine*** developed by REIDIN.
Indexation:
*REIDIN Residential Property Price Index (RPPI) is designed to be a reliable and consistent benchmark of housing sales and rent prices in Turkey. The purpose of the index is to measure the average differences in house prices in a particular geographic market through a timeline.
Listings:
**Listing price series in the data set are obtained mainly from real estate agents and newspapers, magazines, internet web sites and asset management companies; then cleaned, processed and perfected carefully each month with a patent-pending technology.
REIDINAVM:
***A Weigthed Regression Model that sets the coefficients of the independent variables (property attributes) dynamically.Regression analysis is a statistical process for estimating the relationships among variables. Regression analysis helps one understand how the typical value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed.
Benefits:
• Save money, time and effort
• Manage your property/collateral portfolio more effectively
• Increase your control on your portfolio value
• Manage your mortgage and valuation request work flow more efficiently
• Increase your productivity
Project: Mortgaged credits risk management.
Objective: Calculating value change of property according to mortgage start date and compare with residual debt.
Data Fields: REIDIN Indices Indicators, Purchase Date of property, Purchase Value of property, Quantitative and qualitative variables.
Methodology: Measures the additional mortgage potential by calculating a specific property's value by using; historical sales listings and quantitative/qualitative variables of the property with a statistical model. These calculations base on a high detailed historical price, indices, location, market condition and specific variables of the property.
Benefits:
• Be inline with Basel II - III
• Be inline with BDDK notice
• Save money, time and effort
• Manage your property/collateral portfolio more effectively
• Increase your control on your portfolio value
• Manage your mortgage and valuation request work flow more efficiently
• Increase your productivity
Project: Grow mortgage credit within existing portfolio with top up credits.
Objective: Calculating value change of property according to mortgage start date and define potential clients' whose properties values increased rapidly and available to get top up credits.
Data Fields: REIDIN Indices Indicators, Purchase Date of property, Purchase Value of property, Quantitative and qualitative variables.
Methodology: Measures the additional mortgage potential by calculating a specific property's value by using; historical sales listings and quantitative/qualitative variables of the property with a statistical model. These calculations base on a high detailed historical price, indices, location, market condition and specific variables of the property.
Benefits:
• Be inline with Basel II - III
• Be inline with BDDK notice
• Save money, time and effort
• Manage your property/collateral portfolio more effectively
• Increase your control on your portfolio value
• Manage your mortgage and valuation request work flow more efficiently
• Increase your productivity
Using REIDIN’s Mapping solutions you can:
- Heat Maps, Trends and Other GeoData Solutions;
- Visualize your data and information;
- Select a property, land, project by pin-point, circle, square, poly-line, polygon features;
- Analyze the area with specific real estate analytics;
- Name, save and color code your property ;
- Upload your own GIS mapping data in ".kml" format;
- Download your data in ".kml" format to be used on other GIS solutions such as Google Earth ;
- Take a snapshot of your map and use in your presentations;
- Print and save your maps.
REIDIMap Solutions can also be tailored for your intranet, extranet, website with your own property, project and land bank data.
Solutions available for:
• Banks
• Real Estate Developers
• Retailers
• Lenders/Asset/Portfolio Managers
• Valuers/Surveyors
• Governments