FREE 10+ Data Quality Assessment Report Samples in PDF | DOC

Data quality assessment (DQA) is the process of scientifically and statistically evaluating data in order to determine whether they meet the quality required for projects or business processes and are of the right type and quantity to be able to actually support their intended use. The Data Quality Assessment Report is intended to be a stand-alone report documenting the drivers, process, observations, and recommendations from the data profiling process. The report includes recommendations relating to any discovered or verified anomalies that have critical business impact, including tasks for identifying and eliminating the root cause of the anomaly. With the importance of this report, this should be considered, a must. In making this, it might be a burden if you are going to do it from the very scratch. To help you ease this dilemma, our site offers you free, available and ready-made templates that you can choose from. Just browse among these templates and choose the one that satisfies your needs the most.

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10+ Data Quality Assessment Report Samples

1. Data Quality Assessment Report

2. Sample Data Quality Assessment Report

3. Data Quality Assessment Final Evaluation Report

4. Standard Data Quality Assessment Report

5. Data Quality Management Assessment Report

6. Data Files Quality Assessment Report

7. Data Quality Assessment Recommendation Report

8. Data Quality Assessment Initial Report

9. Data Quality Assessment Maintenance Report

10. Data Set Quality Assessment Report

11. Data Quality Assessment Training Report

Data Quality Assessment

Data Quality assessment is not an option. Even if you say it will not happen, it will happen. You cannot get very far into managing information in any way and not encounter data quality issues. The only considerations for the approach is the level of detail to be done now vs. later, and the techniques that will be used to conduct the actual assessments. Connecting potential data issues to business impacts and considering the scope of those relationships allows the team to prioritize discovered issues and document a “fitness score” based on the feedback from the business data consumers. In turn, an additional step is needed to consider the options for addressing the most critical issues and providing recommendations for issue remediation, data quality improvements, and/or ongoing data quality inspection.

Data Quality Assessment Report Includes:

A rough outline of a Data Quality Assessment Report contains the following sections:

• Executive summary, providing high-level overview of the task and the results
• Introduction, describing how data profiling and additional analyses were used to assess the quality of selected data sets
• Goals, enumerating the specific goals of the analysis, such as “reviewing the quality of data prior to integration in a data warehouse”
• Scope, detailing the results of the scope assessment and the identified business impacts
• Approach, describing the details of how the assessment was performed, namely, profiling and other analyses performed, the identified critical data elements, proposed measurements, and the techniques applied
• Data analysis results, providing the listed observations of potential anomalies and reasons for consideration
• Recommendations, detailing the suggestions resulting from the synthesis
• Open issues, listing any unresolved questions
• Next steps, providing the action items resulting from the recommendations review and any requirements to resolve any of the open issues.
• Additional supporting material, including such information as raw statistics from the column, table, and cross-table templates and any other (non profiling) analyses to support the recommendations

FAQs

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