This can be applied to many scenarios, a simple one being a student election.
(name) wants to become student council president and wants to collect data on the students to see what their interests are and what their current views on student council are.
(name) performs a data analysis on his survey results without checking over his data and the quality of it prior to his analysis. He chooses to trust his data without looking it over not realizing he could be entering errors.
(name) then bases his election campaign on these results expecting a victory in his favour.
It turns out due to his lack of checking on the quality of his data, he got a lot of information wrong and lost the election.
His lack of data quality led to campaign investments in the wrong areas which did not target his intended audience. It costed him the election, his time and his school political reputation.