We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 came from mid-to-large cloud data warehouse customers (with a spend of more than $500,000 per annum) who have some form of data monitoring in place, whether third-party or built in-house. Here are some important patterns we noticed.
