Welcome to the Location Data Blog!

In the ever-evolving realm of digital marketing, our recent webinar, "Unlocking the Value of Location Data: From Insights to Impact," presented by Quadrant and Onspot Data, illuminated the transformative power of location analytics in advertising. This event highlighted how leveraging large volumes of quality location data, as opposed to relying on smaller data sets and predictive modeling, can drastically enhance marketing strategies across industries. Here, we explore the key takeaways from the webinar.  
 

In the modern world, Artificial Intelligence (AI) is being leveraged across various industries to tackle issues as diverse as inventory management in retail and route optimization in navigation. Due to its immense potential, AI is increasingly being used in pertinent areas such as finance, marketing, and human resources – which raises the question: will the use of AI in these (and other fields) remedy or amplify problems that lend themselves to flawed decision-making? This article will delve into the matter of ‘fairness’ in AI systems, elaborate on real-world instances of AI-based discrimination, discuss existing approaches towards mitigating AI bias, and more.  
 

Quadrant’s POI Data-as-a-Service platform, Geolancer, is superior to conventional POI data collection tools in many ways. Geolancer’s ability to quickly provide high-quality, customizable metadata on demand makes it stand out in a sea of POI data providers. Our bespoke POI datasets allow businesses to increase operational efficiency, build better products, and enhance customer experience.  

If the location data supply chain was a river, it would look pretty murky. This lack of transparency comes from two main concerns: the complicated and entangled relationships between suppliers and buyers of data, and the issue of consent. 

In this article, we will focus on the second problem and explain why consented data is especially important in today’s market and show you how Quadrant is developing new ways to clean, track, verify, and bring transparency to the industry with blockchain technology and the Quadrant Consent Management Platform (QCMP). 

The location data industry is characterised by opaque supply chains, making it challenging for buyers to procure high-quality datasets. Quadrant’s mission to instill transparency into the industry starts with how and where we source the data. We have been successfully working on acquiring data right where it is created, incentivizing developers to ethically monetize their mobile apps.

One way of doing this is SDK integration, which we have covered in detail. The other, increasingly popular method is Server-to-Server (S2S) integration; in this piece, we give readers a peek behind the curtain so that they can understand how S2S works.