How to ensure data quality?
There is a rising interest when testing data quality. Especially in healthcare industry where together with data privacy are of the highest importance. Therefore, let’s learn from the best!
Legacy providers vs. Agile frameworks
In the article on “medium.com” our CTO compares old legacy providers with new agile frameworks. The legacy providers such as Informatica, Oracle or SAS have definitelly something to offer – if you have a budget.
On the other hand, when you are looking for more agile solution, be aware of GreatExpectations. It is an open source solution with the possibility of functionality extension via Python.
Severity and data quality
For severity, your solution should cover these 3 outcomes:
- Warning
- Invalid data
- Critical stop
More detailed description you can find in this article.
Right people and data quality
For stakeholder notifications notify the right people:
- internal developers
- internal users
- external partners
More information can be found here.
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