Data Assurance Considerations
9:25
YouTubeMrBrownCS
Data Assurance Considerations
Explaining what data assurance is and why it's important. Then going through 8 data assurance considerations: accuracy, quality, redundancy, reliability, timeliness, validation, validity, and verification. This video is primarily designed for the written F200 exam (Fundamentals of data analytics) for the OCR Cambridge Advanced Nationals Level 3 ...
207 views6 months ago
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