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DATA QUALITY & SECURITY POLICY OVERVIEW blu3 UK Limited (\'blu3\') holds information on its staff, commercially confidential information about Its business, and Information entrusted to it by clients
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Identify the source of the data
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Define the data quality dimensions that are important for your organization (such as accuracy, completeness, consistency, timeliness)
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Assess the current state of data quality for each dimension
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Implement data quality controls and processes to improve the quality of data
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Organizations that rely on data for decision-making
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Data quality refers to the accuracy, completeness, reliability, and consistency of data.
All organizations that collect, store, and use data are required to ensure data quality.
To fill out data quality, organizations need to conduct data profiling, data cleansing, and data validation processes.
The purpose of data quality is to ensure that the data is reliable, accurate, and suitable for its intended use.
Information such as data type, data source, data completeness, data accuracy, and data consistency must be reported on data quality.
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