Assumptions built on assumptions

Your customers assume the data application they are paying for is always correct and always up to date.

Your data scientists assume the pipelines they are building on is always correct and always up to date.

Your data engineers assume the data they are building on is always correct and always up to date.

Your software engineers assume no one is using their data for anything important.

Assumptions built on assumptions.

When any one of those assumptions proves wrong, it’s your customers and your revenue that is impacted.

And the earlier upstream that assumption is broken, the bigger the impact, and the higher the cost.