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As businesses use data of all kinds for self-service analytics, AI and machine learning, or another use case, they’re discovering that data quality can no longer be an afterthought.

The real-time data usage of these apps means that data quality cannot be maintained retrospectively and needs to occur in tandem with real-time data ingest. Profiling, assessment, and cleansing late in the data lifecycle doesn’t work in today’s high-speed data world.

Read this Eckerson Group report to learn how data quality management is changing, as well as why it might be expensive and consequential to ignore this shift.

Vendor:

Informatica

Posted:

Feb 8, 2021

Published:

Aug 20, 2020

Format:

PDF

Type:

White Paper