Why Is Data Quality Always an Afterthought? Strategies to Master Data Quality Management

Why Is Data Quality Always an Afterthought? Strategies to Master Data Quality Management

[...]data quality has become even more challenging to tackle with the prolific increase in data volume and types — structured, unstructured, and semi-structured data. [...]this causes sleepless nights, especially when we want to submit a regulatory report, make any executive decisions, or submit SEC...

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Veröffentlicht in:CIO 2022-11
Hauptverfasser: Sutherland, Dan, Data, Analytics, Protiviti, Mehta, Sujay, Associate Data
Format: Artikel
Sprache:eng
Schlagworte:
Architecture
Automation
Corporate culture
Data warehouses
Decision making
End users
Quality management
Structured data
Unstructured data
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Zusammenfassung:[...]data quality has become even more challenging to tackle with the prolific increase in data volume and types — structured, unstructured, and semi-structured data. [...]this causes sleepless nights, especially when we want to submit a regulatory report, make any executive decisions, or submit SEC filings. [...]develop an architectural blueprint that treats good data and bad data separately and deploy a robust real-time exception framework that notifies the data owner of data quality issues.
ISSN:0894-9301