Real Estate Analyzer

Real Estate Analyzer (REA) is a database of commercial properties (Multi family, Hotel, Warehouse, Office, Retail, Dormitories and Senior Housing) in various stages of construction in the U.S. and Canada. It is a product aimed at the commercial real estate community. REA offers valuable insight into the opportunity or risk that supply changes may represent for investment portfolios of commercial real estate companies. REA goes back to 2000 and is updated monthly.

• Multi Family • Office • Warehouse/Industrial • Hotel • Retail • Senior Housing • Dormitory

Data Validation & Cleansing/Value Added Reporting

REA raw data go through validation checks and data cleansing processes. They are reviewed, researched and updated by Analytic Specialist to assure the data accuracy. Additional value-added data gathered by Analytical Specialists includes, among other things, completion dates, square footage, subclasses, opening date for hotels and units for nontraditional residential buildings like hotels and senior housing.

Hotel and Retail Brands

Brand names are given for retail and hotel properties when available. For example, REA subscribers have an ability retrieve only Hilton Hotels, rather than all hotels, or CVS, rather than all retail properties. We currently track 307 hotel brands and 1073 retail brands.

Two Unique Stages

REA reports and tracks construction projects through nine different phases: pre-planning, planning, final planning, bidding, start, underway, completed, deferred, and abandoned.

We estimate the target completion dates for the project that broke ground by using the methodology we developed internally if the target completion is not filled by Dodge Reporters. Later, we verify the completion date two months before to the target date for the projects valued at 20 million and over (Value criteria is $10 million and over for hotels). In addition, we verify the target start date for the projects valued $20 million and over.

Geo-coding

All US projects in REA are given latitude and longitude co-ordinates and the degree to which a project has been geocoded. Geo-coding data helps our subscribers to identify projects in a specific real estate submarket. Subclasses:

Each property class is made up of more narrowly defined subclasses in REA. This gives commercial real estate companies an easy way to assess the coming supply by breaking out high-rise office buildings from all office buildings, apartment or townhouse/condo projects from total multifamily, community centers from total retail, etc.