Welcome to the Location Data Blog!

 

Learn how companies all over the globe are utilising location data to enhance business operations and improve profitability. Keep up with industry updates, best practices, and key learnings from location intelligence projects we have executed.

Preview: The big book of Point-of-Interest data use cases

Point-of-Interest (POI) data is the digital representation of physical spaces that are of interest to individuals, businesses, and governments – such as malls, restaurants, train stations, residential complexes, hospitals, and schools. In other words, a POI can be anything that someone wants to find on a map. POI data acts as the lynchpin of operations in several industries, including ridesharing, last-mile delivery, logistics, real-estate, retail, marketing and the public sector. Even companies whose business model is not primarily built on POI data can still harness it to glean insights that offer a tangible, competitive advantage. Data scientists generate meaningful insights on the distinct characteristics of neighbourhoods, people’s movement patterns, and an area’s vulnerability to natural disasters by analysing POI data alongside mobile location data, demographics, purchase data, and environmental records.

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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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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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Methods of Data Delivery for Mobile Location Data

One factor to consider while evaluating location data for purchase is data delivery. Storage costs for big data sets can be substantial, so it is important to get the delivery right. The method of data delivery should take your unique use case into account, as well as the platforms you use to work with the data.

Before making a purchase decision, you should ask your vendor if they are flexible enough to use a delivery method that is in line with your requirements.

In this post, we will discuss the various methods of data delivery and how Quadrant delivers data.

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Buying POI Data: Best Practices for Vendor Selection

High-quality Point-of-Interest (POI) data is the backbone of all location-based businesses and applications. Your customers rely on you to find day-to-day services such as transportation, food delivery, online shopping, and more. The speed, accuracy, and reliability in providing these services can be a determining factor in gaining and retaining customers.

But how do you ensure that the data powering your business are of good quality and up to date?

There are numerous data providers that claim to offer vast, accurate, and ideal POI datasets, but how do you correctly assess them? In this post, we will discuss a few factors to consider before buying POI data. Use them as a checklist for your purchase decision while selecting a data vendor!

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