A. Poor assimilation of collected data:
When data is ingested or collected without proper integration or consolidation, duplicate or outdated data can accumulate.
B. Poor data management practices:
Lack of data governance, data lifecycle management, or archival policies leads to unnecessary or outdated data being retained.
C. Server and human error:
Mistakes in data entry, duplication during backups, or misconfigured scripts can result in repeated or irrelevant data being stored.
D. Dataset inaccuracies developed over time:
Without regular cleaning and validation, datasets may grow stale, with outdated or incorrect information that no longer serves a purpose.
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C (25%)
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Anirbanhere4u
3 weeks ago