Clear Expectations About Data Quality - Christian Rasmussen & Signe Horn Thomsen

Crappy data is hindering swift delivery of analytics insight and we spend too much time cleaning up. Let’s start measure and manage.

Learning points:

  • How data quality affect feasibility of a great opportunity
  • A practical way to measure data quality in three dimensions
  • Producing data is harder than consuming data
  • How to help the data producer become better

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