
In today’s data-driven environment, poor data quality can undermine analytics, decision-making, and regulatory compliance. This session explores how Informatica Cloud Data Quality (CDQ) empowers organizations to assess, cleanse, standardize, and monitor data across diverse sources.
We’ll cover the core capabilities of CDQ—including data profiling, rule creation, exception handling, and workflow orchestration—and demonstrate how they integrate seamlessly into broader data pipelines. Whether you’re a data engineer, quality analyst, or business stakeholder, this session will show how Informatica’s DQ tools help ensure that your data is accurate, complete, and fit for purpose.
Join us to see real-world use cases, practical design patterns, and how automated data quality management can strengthen your organization’s trust in its data.
Website: https://www.informatica.com/
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