Welcome to the Location Data Blog!

POI data acts as the fundamental building block for digital mapping and navigation platforms. One of our clients – a prominent European mapping and navigation company – wanted to enrich their platforms by procuring a high-quality POI dataset covering several regions in Brunei. To help them achieve this objective, we launched a POI collection campaign in the city (without an already established presence) and successfully produced a dataset of 1500 verified POIs, all with photos. We reached a completeness level of 99.3%, far exceeding the industry standard.  

For years, Quadrant has been offering high-quality, authentic, and reliable mobile location data. In our interactions with customers and prospects, we discovered that many of them seek Point-of-Interest (POI) data to go with their mobility analysis. Good quality POI data is critical for operational efficiency, especially in sectors like transportation, delivery of consumer services, supply chain logistics, freight, and many others.

However, existing off-the-shelf POI databases are plagued with issues. They are not updated frequently enough, and the way they are assembled -- most often through web scraping -- leads to inevitable inaccuracies.

Point-of-Interest (POI) data is critical for executing operations in a host of industries. Even companies that do not directly rely on POI data utilise it for deriving actionable intelligence to improve performance.

The challenge most of these businesses have is that off-the-shelf and web-scraped POI datasets are riddled with outdated and inaccurate information. Most POI data providers offer one-size-fits all datasets and fail to provide data that is relevant to different types of use cases and applications.

We've put together a solution brief discussing these challenges and solving them using Geolancer, Quadrant's very own POI Data-as-a-Service platform.

Pandemic-fueled lockdowns and disruptions in transportation systems hit the supply chain and logistics industry hard. From empty shelves to skyrocketing prices, disrupted supply chains have brought on inflation all over the globe. According to the Labor Department’s consumer-price index, inflation in the U.S. alone rose above 8.5 % after averaging about 1.7% for the past decade.

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.