A Guide to Data Anomalies in Consumer Behavior Data

Read this guide to learn:

  • What kinds of anomalies are commonly found in location data?
  • How does Near go about identifying and eliminating them to ensure only high quality data remains?
  • What challenges are there as the mobile data ecosystem continues to evolve?

Data anomalies are a persistent problem in mobile data. At Near, we are committed to high standards for data quality, and will continue to invest in the most current methodologies for protecting the value of our data.

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