Data Quality
Every feed is documented, sampled, and configured before it reaches production, so your team can verify the data against your own benchmarks.
What we check before delivery
schema documented fields and types recency late-arriving events removed precision coordinate precision rules source_mix overlapping sources excluded consent consent flag carried per record compliance state and regional controls
How we work on quality
Quality is defined by your use case. We configure each feed to the tests your team runs.
documented schemas
Every feed ships with field definitions and sample records
sample first
Samples are configured to your requirements before any contract
your benchmarks
Your team evaluates the sample against its own criteria
configuration
Recency, precision, and source filters are set from your results
ongoing review
Our solutions team stays involved as your product evolves
Data quality FAQ
How should we evaluate a mobile data feed?
Most teams test location validity, accuracy, latency, pings per device, and overlap with their current sources. Tell us which tests you run, and we will configure the sample to match.
Can late-arriving data be removed?
Yes. Recency windows remove events that arrive after a cutoff you choose.
Can we avoid overlap with our existing supply?
Yes. Specific supply sources can be excluded so you only receive incremental signal.