Veraset Competitors & Alternatives

Mobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.

The recent webinar by Echo on their data collection process was excellent, very well explained and lucid. I understood how complex the process is to clean the data. Their product is a really interesting one.

Leveraging geolocation data for Airport Planning. We provided a strong and successful case for adding flights to a medium sized airport. Two airlines added flights following the analysis. The successful pilot is being turned into a tool for airport administrators. In the tool, managers can see the origins and end destinations of travelers flowing through their terminals. They can also identify volume and type of leakage to other transportation terminals - both alternate airports and other modes of travel like bus and train. Gravy Analytics' data product showing visitations was optimal for this use case.

We wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.

We use GapMaps’ data offering extensively to identify and approve locations for Anytime Fitness sites across Southeast Asia. This data helps Inspire Brands Asia make informed decisions, ensuring that each new gym location meets our strategic criteria and has the potential for success. The insights from GapMaps enable us to understand market demographics, competition, and accessibility, which are crucial for our expansion plans.

My firm decided to make the switch over to dataplor from a manual data collection effort once we saw measurable lift in accuracy, coverage, and cost-savings. Their resolution was far beyond what we could achieve on our own, and we no longer had to juggle the labor-intensive process of duplicates, new places, and pulling in updates. We now have a reliable stream of data in difficult markets that is high-fidelity and always current. And because they are global, adding new datasets is a breeze.