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Webinar: Data cleansing

A click by click guide for how to clean up messy data, such as for address data, retail SKU tags or ticket product naming conventions.

In this webinar we’ll be covering a beginners’ guide to:

  • Who should clean data, how often and when
  • Different scenarios where data cleaning can be useful
  • Various approaches to data cleaning, such as transformation and derived metrics
  • How do write common queries for data cleaning
  • Query considerations to think about when designing clean ups

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As the global leader in big data analytics for visitor attractions, Dexibit takes privacy seriously. Read more about how we treat your privacy.

Download Data Audit Workbook

Download Data Audit Workbook

As the global leader in big data analytics for visitor attractions, Dexibit takes privacy seriously. Read more about how we treat your privacy.