We recently supported the high-stakes business decision for a restaurant chain evaluating the expansion of operations from the US into Mexican markets using our proprietary method of data-driven analysis.
Download Case StudyThis project focused on store relocation optimization for improved customer acquisition and engagement for a Baby Clothing Store in New York City.
Download Case StudyWe analyzed ATM usage patterns of two different banks’ in the central districts of Budapest with the aim of optimizing the city-wide ATM network to better fit people’s needs and increase customer activity.
Download Case StudyThe Datapolis team generated analyses for a greenfield site’s city planning initiative for the types of services that are essential in order to ensure high quality of life and to attract new residents.
Download Case StudyIn this project, we advise a multinational oil and gas company on how to provide and expand the range of profitable goods and services in their service stations based on customer personas and preferences.
Download Case StudyDatapolis helps a restaurant chain identify potential locations for new locations in medium-sized cities.
Download Case StudyThe research aimed to measure and quantify life quality based on the accessibility of a diverse set of services. To achieve this, we defined and computed the Life Quality Index (LQI), and assigned values to every urban neighborhood, location and service. Furthermore, we studied the correlation between LQI and real-estate prices in different neighborhoods of Budapest.
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