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.
In the last eight years, the public discourse and the regulatory environment around privacy have changed dramatically. Snowden’s revelations, 2013. GDPR, 2016. CCPA, 2018. Seeing the demand for increased privacy, Apple will soon introduce changes that will give people even more choice over what they want to share with companies. But what do all these mean for businesses working with location data?
A few weeks ago, we discussed the seven most important parameters for data buyers to consider before purchasing location data. One of those factors is the health and quality of data. Is the data complete, accurate, and usable? Does it need additional preparation? How many unique values does the dataset actually contain?
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.