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Data quality is important—no doubt about it. Bad data destroys trust in both the data products and the teams that produce them.

But as data quality finally takes its rightful seat at the platform table, where should new data teams start? Great Expectations? Data Observability? Developing a scalable data quality strategy doesn’t happen overnight.

This guide examines the Data Quality Maturity Curve—how data quality works itself out at different stages of your analytical maturity—to offer an experienced perspective on where you should be at each point in your data quality journey.

Browse the guide to benchmark your company’s data maturity progress.

Vendor:

Monte Carlo Data

Posted:

Feb 21, 2024

Published:

Feb 21, 2024

Format:

HTML

Type:

eBook