Remediation and Improvement Planning
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This chapter reviews the approach to developing an action plan, providing guidance for the triage and root cause analysis tasks performed by data quality practitioners when data issues are identified and logged in a data quality incident tracking system. Each identified issue can be prioritized in relation to a number of variables, including severity, impact, and feasibility of resolution. The practitioner can then determine the most appropriate actions to take. The process includes: triage, review of the information production flow, root cause analysis, corrective measures, preventive measures, and execution. Evaluating criticality, assessing the frequency and severity of discovered issues, and prioritizing tasks for remediation are all part of the data practitioner's role. Formalizing the different tasks to perform when issues of different levels of criticality occur will reduce the effort for remediation while speeding the time to resolution. The objective of remediation and improvement planning is to evaluate the criticality of reported and logged data issues, and prioritize the most effective ways to address those errors. Evaluating criticality helps in determining where to get the best bang for the data quality management buck. At the same time, picking the low-hanging fruit not only helps concentrate efforts for data quality improvement, it establishes credibility across the organization by reducing the time necessary for resolving critical issues.