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SED 1081Transcript EPISODE 1081[INTRODUCTION][00:00:00] JM: Many data sources produce new data points at a very high rate, and with so much data, the issue of data quality emerges. Lowquality data
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Identify the purpose of the assessment and the criteria for measuring data quality.
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Collect relevant data from different sources, ensuring it is accurate, complete, and timely.
03
Assess the data against the pre-defined criteria, looking for inconsistencies or errors.
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Document the findings and any actions needed to improve data quality.
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Implement changes based on the assessment results, monitoring and evaluating data quality regularly.

Who needs assessment of data quality?

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Businesses that rely on data for decision-making
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Researchers in various fields who use data for analysis
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Government agencies for policy-making and reporting purposes
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Healthcare organizations to ensure accuracy of patient records
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Assessment of data quality refers to the evaluation of the accuracy, completeness, reliability, and relevance of data used in a specific context.
Organizations or individuals who manage or utilize data systems, particularly in regulated industries, are typically required to file an assessment of data quality.
To fill out an assessment of data quality, one must collect relevant data, evaluate its quality using established criteria, and document findings according to the prescribed format or guidelines.
The purpose of the assessment of data quality is to ensure that data is fit for its intended use, to identify deficiencies in the data, and to support decision-making processes.
The assessment must report on data accuracy, completeness, consistency, timeliness, and relevance, along with any identified issues and plans for remediation.
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