Welcome to the Location Data Blog!

Businesses that want to leverage location data must procure high-quality datasets because erroneous data will result in false insights, and therefore, poor decision making. However, not all market participants are transparent about their data practices. In this article, we share background information about how the team at Quadrant analyses the quality of location data we provide our buyers – some of the steps we take to ensure it is of the highest quality possible for their particular use cases. 

As part of our long-term commitment to delivering the best quality data to our customers, we’ve built a new proprietary data noise filtering algorithm at Quadrant.

Not only will this save hours or even days of our clients’ time, it will also save on wasted costs of investigating the causes of bad data where they are not eliminated at source.

In the spirit of transparency, we are going to share some background info on how we at Quadrant analyse the quality of location data we provide to our buyers – some of the steps we take to ensure it is of the highest quality possible for their particular use case.