The Signal from Veraset

Brief mobility data updates, insights, and news delivered to your inbox monthly.

Back to Basics: Choosing a Mobility Data Provider

Not all mobility data is created equal. Differences in accuracy, scale, consistency, privacy practices, and accessibility can have a major impact on what you can actually do with the data. Our latest buyer’s guide breaks down the key questions to ask when evaluating a provider.

What this means: Look beyond device counts and coverage. The right provider should be able to explain how data is sourced and validated, how quality is maintained, and whether it can reliably support your use case. Read the buyer’s guide.

Flat File, API or Platform: Which is Right for You?

How you access mobility data can be just as important as the data itself. Flat files offer control, flexibility and scale, APIs make it easier to query specific locations and time periods, and platforms like Orchestrator let teams explore and export data without building the infrastructure themselves.

What this means: There’s no single best workflow. The right approach depends on your technical resources, use case, and how quickly you need to get from data to insight. Learn more about each option.

Mobility Data in Action: Education & Research

Universities, research institutions, and public-sector organizations use mobility data to study transportation, urban development, economic activity, population movement, major events, and more. These insights can add real-world behavioral context that can be difficult to capture through traditional research methods alone.

What this means: Mobility data can help researchers fill gaps in traditional datasets, validate findings, and uncover patterns that might otherwise be difficult to see.

Going to EDUCAUSE Annual Conference? The Veraset team will be there. Reach out to Justin Leopold to schedule time to connect and learn more about using mobility data for research and education purposes.

Case Study: The World Bank & Development Data Partnership

Through the Development Data Partnership, the World Bank used Veraset mobility data to help develop a new methodology for estimating urban transport emissions in low- and middle-income countries, where traditional transportation data can be limited or difficult to obtain.

What this means: When traditional datasets leave gaps, observed movement can give researchers and policymakers another way to understand what’s happening on the ground and build better models from it. Read the full case study.

Thanks for reading,
Team Veraset