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.

Competition is as fierce as ever for app publishers as we head into 2020, with the top 1 per cent accounting for 80 per cent of new downloads in the App Store as reported by Techcrunch.

As we settle into 2020, there are a few trends top of mind for location data buyers. In brief these are: changes to location utilization in Apple’s iOS 13 update; a shift in the location data supply away from background data and to foreground data; and evolving global privacy regulations and the need for compliance.

Quadrant Partners with LiveRamp To Expand APAC Audience Data driving a shared mission of providing advertisers and marketers with actionable real-world insights aligned to digital signals

• Expanded availability of Quadrant Audiences data in Asia Pacific. Currently available in Australia and New Zealand, with plans to roll out to the rest of APAC in early 2020
• Quadrant’s mission to be a globally recognised audience data provider shares synergies with LiveRamp’s reputation for quality and transparency
• More of the world’s leading adtech and advertising platforms will enjoy easy access to Quadrant’s data in 2020

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.