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Cloud Data Quality

Embrace a unified and effective strategy for Data Quality and Integrity management in Cloud.

Establish initial Data Quality goals

Data Quality

Data Quality refers to the overall utility of a dataset and its ability to be easily processed and analyzed for other uses. It is an integral part of data governance that ensures that your organization’s data is fit for purpose. Data quality dimensions include accuracy, validity, completeness, consistency, uniqueness and timeliness. Managing these helps your data governance, analytics and artificial intelligence (AI)/machine learning (ML) initiatives deliver reliable and trustworthy results.

Introduction

Best Practices

Data Profiling

Cloud Data Quality

Informatica Cloud Data Quality empowers your company to take a holistic approach to managing data quality to quickly identify, fix, and monitor data quality problems in your business applications. The solution transforms your data quality processes to be a collaborative effort between business users and IT. This creates a true data-driven environment that accelerates cloud benefits through faster migrations and gains more trusted insights from cloud data warehouses, data lakes, and SaaS applications.