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.

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 retail banks increase their competitive edge with location intelligence

Similar to other industries, financial services have been leveraging mobile location data to improve its operations and services.

Investment firms analyse mobility data in conjunction with POI data to forecast revenues for various retail outlets. This enables these companies to determine which businesses will deliver a good ROI.

Retail banks utilise location data in a number of ways. An important application includes limiting or preventing fraudalent transactions. Retail banks compare the IP address of a Point-of-Sale (POS) with the GPS coordinates provided by a customer's phone to prevent credit card fraud.

Banks rely on location intelligence to drastically improve the experiences they provide their customers. Here are three examples of how retail banks can use mobility data to enhance customer service and increase competitiveness. 

In each example, anonymized mobility data around Downtown Los Angeles between 1 October 2016 and 31 October 2016 was used.

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Monetizing mobile location data: publisher questions and answers

Most publishers monetize their apps through one-off purchases, subscriptions, and in-app advertisements. However, subscription-based apps only account for 10.5% of the total revenue, and in-app advertising is disruptive to a degree that it directly causes churn. There is a third, better way of generating revenue from apps: data monetization. It is a new method and publishers often come us with a long list of questions. Here, we answer the most common ones.

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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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Preview: The big book of mobile location data use cases and applications

To increase operational efficiency and maintain a profitable business model, businesses must gauge the performance of various processes and identify focal points that require change and strategic innovation. Business leaders must also develop a firm understanding of consumers and prospects, at scale, so that they can create effective marketing campaigns with broad appeal. Mobile location data is a powerful tool that helps companies achieve these objectives across business verticals by providing meaningful, actionable insights.   

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