Data quality | SITA

 
Data quality

Governments rely on good quality data to perform risk assessment for potential threats moving across their borders, but good quality data has four different dimensions that need to be taken into account.

This report looks at the different data governments are able to access from carriers and the ways in which data quality can be affected along with solutions to mitigate against it.

Highlights

  • The different types of data collected.
  • The four pillars to good data quality.
  • Analyzing the data and looking at ensuring data quality.
  • Key recommendations for both governments and carriers to ensure good quality data.

Why is data quality so important?

Read the paper

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