Data at Work

The world of data and its many applications. This blog will help you learn how visionary companies are utilising external data to enhance business operations.

How to use location data in transportation and mobility

Transportation companies need location-based intelligence to gauge demand, support operations, adapt to changing public requirements, and ensure safety. Reliable and accurate mobile location data is key to studying mobility trends that can reveal actionable insights for the betterment of infrastructure and applications in supply chain, ride sharing, public transport, traffic management, and other use cases.

Companies also need location data to assess potential for usage in growing urban spaces to improve availability and return-on-investment. More recently, due to the Covid-19 pandemic, people’s movement patterns have changed drastically. The new normal with social distancing requires tweaking existing forms of transportation and related services. All these make mobile location datasets and corresponding mobility analysis more valuable than ever, both in the private and public sector.

Image attribution: Macrovector via Freepik

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Reducing Data Preparation Costs & Increasing ROI with Mobile Location Overlap Analysis

The location data industry is using multiple sources of data with a varying degree of quality. This means suppliers often have a significant amount of overlapping records. While this does not impact quality or validity of the data, it poses a challenge for buyers who need unique values for their analyses.

Most off-the-shelf vendors leave this unaddressed as it makes their data volumes appear larger. However, when buyers prepare the data for analysis by removing overlaps, they often see a significant drop in overall volumes. 

Image attribution: Storyset via Freepik

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Appen to Acquire Quadrant to Expand Mobile-Location Based Data Collection Offering

Appen Limited (ASX: APX), the leading provider of high-quality training data for organizations that build effective AI systems at scale, today announced it has signed a definitive agreement to acquire Quadrant, a global leader in mobile location data, Point-of-Interest data, and corresponding compliance services.

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Geolancer Campaign Maps 130,000 Retail Locations Across Southeast Asia

Geolancer, Quadrant’s proprietary platform for manually verifying Points-of-Interest (POIs) on the ground successfully concluded its second beta launch campaign. In five weeks, Geolancers collected over 130,000 POIs across Southeast Asia.

We’ve run the campaign for five weeks between July 7 and August 10 in seven countries and the city of Gurugram (Gurgaon) in India. Geolancers were tasked with mapping as many retail POIs as possible, including restaurants, convenience stores, shops, pharmacies, banks, telecom shops, and more. Because of the stringent Covid restrictions across most of the region, most of the POIs came from two countries, Indonesia and the Philippines. Covid hit these businesses hard, and many of them are closed, rendering existing POI databases outdated.

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User behaviour and POI data quality in Geolancer – Quadrant quarterly hackathon

Earlier this year, we launched the public beta test of our proprietary POI collection and verification app, Geolancer. Aimed at providing up-to-date and manually-verified POI datasets, Geolancer is already helping ride sharing and real estate companies enrich their platforms with a hyper-accurate POI data feed. In this article, we provide a peek behind the curtain and explain how we maintain the high quality of POI data in Geolancer.

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