In ensuring data is reliable, accurate, and available, what are your recommendations when it comes to Monitoring the health and quality of data systems and pipelines? or is this strictly handled by IT/cyber security department.

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I had a recent interview in which I was asked a very similar question. My answer was to start with the stage where data gets recorded, like the very first stage, and then move up the pipeline.

Yeah creating SOPs for the users on how to manage enter data definitely helps

Also, the more you take on your plate, the better, rather than entirely relying on other teams, such as IT

I will recommend cross-validation and automating data entry processes, that way we reduce the chance of human error and we can have accurate and reliable data. And I want to believe this is strictly handled by the data quality team.

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