Point-of-Interest (POI) data is critical in many sectors of the economy. Businesses and customers both need accurate, authentic, and up-to-date POI data to find and deliver services. Data sets available on the market today, however, are often polluted, containing inaccurate and outdated information. Geolancer, our proprietary platform for Point-of-Interest data collection and verification set to launch in weeks, solves these issues.
Location intelligence has revolutionised the way companies establish, operate and expand their business. From deciding an optimal location for a new store to performing footfall analysis to gauge competition in an area - location intelligence helps companies make faster, well-informed and profitable decisions.
One of the critical components of location intelligence is Point-of-Interest (POI) data. A POI indicates a specific location in an area of interest for a business. It could be a retail store, a hospital, a university, or a commercial building depending on what intel you need. POI data is vital to maximising returns on marketing and advertising, expanding a business to new areas, powering maps and navigation systems for logistics and supply chain and more.
To adequately leverage POI data, buyers must understand the type of data they need, the scale they need it at, and understand the best way to represent the acquired data to fit their use case. Here are the various ways to represent POI data, and how these methods can help answer questions to specific use cases and applications.
Quadrant, a global leader in location data and intelligence solutions, is delighted to announce its new Point-of-Interest (POI) Data-as-a-Service.
In today's increasingly complex digital economy, many modern applications and systems depend on POI data. From our engagements with customers across multiple industries, we have found that accurate POI data is a critical defining factor of customer satisfaction and operational efficiency.
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