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John Smith
Data Scientist, USA
Cloud-Ready Data
Digital Transformation
Data Governance
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How to become a data quality expert

In this interactive workbook you’ll learn:

  • How to build a business case for data quality by going through a simple checklist to assess your current and future states.

  • A 7 step process to drive data quality adoption, which would help you plan all the steps you need to enable data assessment, remediation, and reporting across your organization.

  • How Collibra Data Quality & Observability can help your organization automate business and technical rules.


If you have grappled with persistent data quality issues across your organization's data landscape, this workbook should set you up to successfully implement a data quality strategy. We understand that high-quality data enables informed decisions for every business. This workbook would allow you to reach the goal of enabling trusted data by preparing you to discover, analyze, and remediate your data issues and to rally your stakeholders to solve these issues together collaboratively.


Do you use data everyday to do your job? Most likely the answer is yes.

If you analyze data sources, data sets or data pipelines, act on data issues, and uphold data quality throughout the organization then this workbook is for you. As you go through this workbook you will learn how to confidently implement a data quality strategy and how Collibra Data Quality & Observability can help ensure the use of consistent, reliable, and trustworthy data

across your entire organization.