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.

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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Using mobility data to measure retail and supply chain performance

Businesses that want to thrive must improve their performance across different functions to retain and increase market share. Nowadays, companies are tapping into a powerful form of business intelligence to achieve this goal: mobile location data. As a leading provider of geospatial information, Quadrant supplies data to customers that allows them to execute various analyses like measuring marketing ROI, site selection for expansion, benchmarking against competitors, and predicting performance. These analyses facilitate the optimisation of different operations which increases revenue and decreases costs.

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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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Data privacy laws and the importance of Consent Management Platforms

The rise of data privacy frameworks 

Mobile apps can access various types of customer information – including personal and financial details, images, location, browsing and search history, purchasing patterns and contacts. For a long time, there were no checks and balances in place to prevent unauthorised access and misuse of this sensitive information. Therefore, there was a dire need for regulations that govern the conditions under which businesses are allowed to process sensitive consumer data.  

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Geolancer and the role of big data in Augmented and Virtual Reality

For several millennia, human beings have delved into alternative realities to entertain themselves and cope with the pressures of everyday life.Until recently, the mediums that enabled these experiences included fictional storytelling, music, art, movies, and TV shows. However, due to the exponential increase in computing power, the last decade has witnessed the rise of the most immersive forms of such mediums to date: Augmented Reality (AR) and Virtual Reality (VR). This blog post sheds light on this growing industry and discuss how Quadrant’s POI datasets can enrich AR and VR platforms – now and in the future.  

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