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Historically, errors with data reporting have even led to global catastrophes.
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Develop the DQS Sequence Plan with input from all relevant sources, and review with data governance.
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Outdated or unreliable data can lead to mistakes and missteps.
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For all quality problems, it is much easier and less costly to prevent the data issue from happening in the first place, rather than relying on defending systems and ad hoc fixes to deal with data quality problems.
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These recommended benchmarks should be tailored to the country context.
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The DQA will interact with business users to resolve data quality problems using techniques such as root cause analysis as well as collecting user requirements.
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