Geo-information Systems and Retail Real Estate Analysis
Geo-information systems (GIS)
The "daytime" population of Moscow's central
megacluster exceeds the "nighttime" population by
more than 4 times
RRG has created geo-information systems for 100 cities; the GIS of Moscow is being permanently updated. More
than 3,000 maps have been drawn up in the process of investigation and more than 300 million data elements
have been geo-coded. Many of our clients are based in Moscow - Stealth furniture salons, Home Credit banking
chain, Starbucks chain of coffee-houses, Olivier supermarket. OBI ordered us a market research in Moscow, Saint
Petersburg, Nizhniy Novgorod, Kazan and Yekaterinburg.
RRG company has developed a unique methodology of defining «daytime population» (people working, studying
and staying in the current location during daytime working hours) in any catchment area.
Working on any GIS system starts with making up detailed address plans and forming population, real estate and
other thematic layers. The main source of information is field research and highly detailed cartorgraphical data.
The company has developed its own geo-coding software module which rose effectiveness from 70% (for regular
modules) to 94%. Utilization of the given module significantly simplified the system of spatial data creation and
upgrade. Our specialists actively apply different mathematical and map simulation methods, such as the Haff
method for the competitive analysis.
The result of our work is a set of graphical and clear map images, significantly simplifying the decision-making in
such areas as looking for the best location in the development of a chain, the most effective target-oriented plan for
an advertising campaign, development advisability in any particular district etc.
We involve professionals who earned their degrees in marketing, geo-information science and cartography from the
best national universities in our projects.
Head of the department: Vadim Kaminsky.View entire presentation