Welcome to the Location Data Blog!

Data analysis plays a crucial role in detecting bad, misleading, and even fraudulent data. The data economy is full of such low-quality data, especially when dealing with location data.

Providing the highest-quality location data should be the goal of data providers, and so this is an issue close to home for those of us playing this role in the industry - an issue to be taken seriously.

Let’s consider some of the various sources of location data, and what data feed characteristics tend to indicate about quality.

Based on the advances in the location data space, it is surprising that a lot of companies continue to fixate on the number of events per device per day to assess the quality of location data.

21 August 2019 - Decamping to Club Meatball, a favourite haunt of the advertising industry in Singapore, we joined our partners from Foursquare and Lotame to run through what Quadrant Audiences does and how it benefits advertisers.

5-6 September 2019, Singapore - Quadrant CEO Mike Davie had the privilege of speaking at Location World 2019 on the topic of Co-creating Geospatial Infrastructure for Consumer Markets last Thursday, 5th September. He also gave a short introductory presentation on Quadrant and the crucial role of data in smart cities, where it can provide insights into areas like understanding and leveraging people movement patterns to build solutions, reducing budget misallocation and over-payment, improving road networks, and even delivering better healthcare. 

Every year in Singapore, the National Day Parade (NDP) period in August sees a lull for malls as locals travel abroad, resulting in a relatively quiet and unprofitable few days. We can think of this as the “exodus effect”.