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AI Data quality framework

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The need

Evolve into an organization fuelled by data insights.

Minimize data quality discrepancies.

Improve data precision.

Empower end users to establish complex data quality rules.

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The solution

Data catalog.

Data classification automation.

Data quality framework.

Data quality global and specific reports.

Natural language to script.

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Significant decrease in expenses linked to inadequate data quality.

Independence for the data steward.

Comprehensive data governance and quality assurance evaluation.


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