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After hundreds of conversations with CDOs, Heads of Data, Data Governance responsibles and Data Quality experts, we have distilled the top 5 data quality myths.
In this Whitepaper we have summarized some of the most common questions and arguments that data professionals deal with.
The 3 pillars of the DQ Platform
The Data Quality Platform enables companies to finally solve their data quality issues once and for all.
01
AI-based, automated generation of Business data rules that are company- and business function specific.
02
No-code central rule repository, supporting maintenance of rules and setting of Group-wide standards, without being tied to specific systems.
03
Integrated workflows for data improvement and error prevention in source systems and processes, minimizing the need for experts to work outside of their familiar environment.
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