Compliance and data governance
Built on trust
The data we use can describe places, assets and how people move through them. It needs to be handled carefully.
Privacy, security and data governance are built into how we acquire, process, model and deliver data. Our practices are designed to protect personal information, maintain data quality and meet applicable data protection requirements, including GDPR.
How we handle data
Privacy by design
Data protection is considered from the start of a project, not added afterwards. We design data flows, models and analytical processes to minimise privacy risks and protect personal information.
Regulatory requirements
Our practices are designed around applicable privacy and data protection requirements, including GDPR. We also work with clients to understand the requirements that apply to particular datasets and applications.
Transparency
We document how data is sourced, processed and used within our models and applications, so that its provenance and limitations are understood.
Data governance
We apply controls across the data lifecycle, from acquisition and processing to storage, access and delivery. This includes data quality, integrity, security and access controls.
Aggregated mobility data
Where we use mobility data, we work with aggregated and anonymised information rather than identifiable individual records. This allows us to model movement patterns and how people use places without identifying individuals.
Why it matters
Geospatial data can reveal a great deal about places and the people who use them. That makes how the data is collected, processed and applied just as important as what the models can reveal.
Good data governance protects privacy, improves the quality and reliability of the models, and gives organisations a clear basis for using them.
MindEarth is also an approved vendor in IAB Europe’s Transparency and Consent Framework, which provides standardised requirements for transparency, consent and data use in the online ecosystem.

Questions about how we handle data?
Ask us about our data sources, privacy practices, governance or how we use mobility and other location-based data.