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generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and DataGovernance application.
In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy. To be clear, data quality is one of several types of datagovernance as defined by Gartner and the DataGovernance Institute. Step 2: DataDefinitions.
The Importance of a System of Record MDM’s role in your data landscape is closely tied to the concept of a system of record: a centralized repository where critical business data is stored and managed. It can also link with most commonly-used systems like your CRM, ERP, and marketing platforms.
Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that datagovernance and quality practices may vary between domains. Secure and governed by a global access control. Self-describing.
Thats why you need trusted data and to trust your data, it must have data integrity. What exactly is data integrity? Many proposed definitions focus on data quality or its technical aspects, but you need to approach data integrity from a broader perspective. What is Data Integrity?
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