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.

Geolancer's edge: The importance of customisable POI datasets

Countless platforms are powered by Point-of-Interest (POI) datasets that are outdated. More importantly, these datasets are not even tailored to the unique requirements of different businesses. For instance, even though a restaurant represents one POI, a specialised search engine will need information on the dietary restrictions that are catered to by the establishment while a food delivery platform needs to know if it has a drive through – data that represents distinct, custom attributes.  

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Optimise your outdoor media strategy with mobile location data

Out-of-Home (OOH) advertising or outdoor media is integral to the multi-pronged marketing strategies adopted by consumer-facing businesses. Research has found that OOH drives more online activity per ad dollar spent than any other media. It is 382 percent more effective than TV, 200 percent more effective than print, and 63 percent more effective than radio ads in driving customers to an online platform. Outdoor media is instrumental for businesses to increase awareness of products and services - both online and offline. The market size is expected to reach US$ 33 Billion by 2027, exhibiting a CAGR of 13.41% during 2022-2027. 

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Tracking People’s Movement After Disasters Can Save Lives : Asian Development Blog

In the aftermath of a disaster, access to relevant, high quality and timely information can greatly enhance the speed of emergency response by agencies and the effectiveness of government policies. The rise of signals and sensing capabilities, such as through privacy-compliant cell phone and GPS data can provide rich and rapid information about human location, activity and mobility. In a disaster recovery context, analytics based on mobility data can underpin socio-economic impact analysis.

The activity heat map displays normalized activity profile of Ambon Island for an average 24-hr day in Sept. 2019. Data are aggregated into hexagons, which are colored based on the count of unique devices by hour in each cell. This method highlights the most and least used locations at any moment in time. In the map above, yellow cells represent areas of high activity, or locations with the greatest number of people over the averaged 24-hr period. Source: Derived from Quadrant’s mobile location data.

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Remapping Southeast Asia, one building at a time (Case Study)

POI data acts as the fundamental building block for digital mapping and navigation platforms. One of our clients – a prominent European mapping and navigation company – wanted to enrich their platforms by procuring a high-quality POI dataset covering several regions in Brunei. To help them achieve this objective, we launched a POI collection campaign in the city (without an already established presence) and successfully produced a dataset of 1500 verified POIs, all with photos. We reached a completeness level of 99.3%, far exceeding the industry standard.  

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How bad are existing POI datasets exactly? (Amsterdam case study)

As users, we are not surprised to discover that a restaurant or a store on the map does not exist in the real world. It might have closed, moved, or never existed in the first place. Low quality POI datasets might be a mere inconvenience in our personal lives; however, this is a multi-million dollar issue for businesses.

Until recently, we couldn't even tell how big the problem is. After collecting and verifying 5,000 electric vehicle charging stations in Amsterdam in person, we have an answer: it is enormous.

We discovered that more than 14% of the locations in the city’s database were incorrect, and more than 11% of the data from a popular mapping platform was outdated. And this is just the tip of the iceberg. 

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