What does your data quality need?
Introducing the Data Quality Maturity Curve
Data quality is important—no doubt about it. But like any new data practice, developing a scalable data quality strategy doesn’t happen overnight. And what you need today may not be what you need tomorrow.
But where should your team start? Great Expectations? dbt tests? Data Observability?
Selecting the right data quality solution for your data platform isn’t about developing the ultimate strategy for forever—it’s about developing the right strategy for right now. In this piece, we examine the Data Quality Maturity Curve—a representation of how data quality works itself out at different stages of your organizational and analytical maturity—to offer some experienced perspective on where you should be right now—and where you’re headed.