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.
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.
Developing a successful mobile application is not an easy task. The two top mobile app platforms, Google Play (Android) and App Store (iOS), had 3.48 million apps and 2.23 million apps respectively at the end of 2021. A multitude of apps across all categories results in cut-throat competition - which makes the task of making an app stand out quite challenging.
For businesses of various scales across a range of industries, the fundamental goal stays the same: to increase profit while keeping costs to a minimum. Location data, already utilized by marketing teams and agencies, can help increase the ROI when it comes to marketing.
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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