Data at Work

The world of data and its many applications. This blog will help you learn how visionary companies are utilising external data to enhance business operations.

Suman Joshi

Suman Joshi

Recent Posts

How mobile location data is enabling post-pandemic recovery in transportation

Cities worldwide are dealing with rapid urbanization, changing travel patterns, and most recently the aftermath of a global pandemic. As cities sprawl outwards to form low-density localities, it is difficult and expensive to serve these suburbs. Transit systems were also one of the worst-hit sectors by Covid-19, and post-pandemic recovery has been complicated due to remote and hybrid working. 

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Dashboard: Footfall analysis for two competing fast-food brands in Charlotte City

Footfall analysis is a powerful form of business intelligence that allows brands to understand the visitation patterns around various POIs (Points-of-Interest). For retail stores, restaurants, and other POSs, footfall analysis can highlight important patterns such as the busiest time of day, competitor traffic analysis, and more. Whereas for government and public agencies, footfall analysis can highlight the consumption and demand of public services for the betterment of citizens’ lives.


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How transport economists use mobile location data to improve public transit

Businesses catering to a community need to keep up with changes in the region's population, demographics, and cultural traits to remain relevant. In addition, urban spaces need to be constantly redeveloped to accommodate changing movement patterns. For example, real estate companies need movement data to discern the residential needs in growing neighborhoods. Public transport authorities need to monitor travel patterns to assess demand and expand transit services to underserved areas. The analysis of mobile location data can provide a clear image of human mobility, and changes in public interaction with businesses and government facilities.

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How bad POI data is costing your business

Point-of-Interest (POI) data is the foundation for digital maps that enable on-demand service delivery models in navigation, logistics, and other industries. POI data is instrumental for businesses to dynamically match consumers with the right services and places with relevant context. The application and analysis of POI data should be a top priority for all location-based businesses to improve operational efficiency, save costs, and stay ahead of competition.

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Your blueprint to harnessing mobility & POI data for location intelligence

Location data has proven beneficial in solving various business and social problems. Researchers and analytics firms leverage location intelligence to identify target audiences for businesses, measure ROI of operational spend, assess competition, and address grave issues like climate change, social inequalities, and human migration. In reality, most business models in delivery, transportation, navigation, healthcare, and real estate depend on location data for day-to-day operations.

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