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Understanding Data Anomalies in Consumer Behavior Data

A guide into Azira’s approach in detecting and removing complex data anomalies in Consumer Behavior Data.

  • EditeurAzira
  • Version PDF - 6 pages - 2024 - Anglais
Livre blanc - "Understanding Data Anomalies in Consumer Behavior Data" - Azira

Introduction ou extrait du livre blanc

"Azira collects data from a variety of sources. While the majority of our data has shown to accurately reflect consumer behavior, the mobile ecosystem continues to expand, and with it an increasing amount of anomalous data that can distort or misrepresent behaviors in location data.

This white paper will outline some of the common types of anomalies that have been observed, along with some of our methodologies for identification and removal."

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