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11/19/2013Data Quality Report Renal Adult 2004 2012Say Hong University of ManitobaContents Overview of Database ...................................................................................................................................
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How to fill out data quality report

01
To fill out a data quality report, follow these steps:
02
Start by collecting the necessary information about the data you are reporting on.
03
Identify the specific criteria or standards that you will be assessing the data against.
04
Evaluate the data against these criteria and note any discrepancies or issues that you find.
05
Document the findings in a clear and organized manner, including details on the specific data points, the identified issues, and any recommendations for improvement.
06
Include any supporting documents or evidence to support your findings.
07
Review and proofread the report to ensure accuracy and clarity.
08
Share the completed data quality report with relevant stakeholders or recipients.
09
Follow up on any actions or recommendations outlined in the report to address the identified data quality issues.

Who needs data quality report?

01
A data quality report is needed by various stakeholders, including:
02
- Data analysts and data scientists who depend on accurate and reliable data for analysis and decision-making.
03
- Data managers and data quality teams responsible for ensuring the integrity and accuracy of the data.
04
- Business executives and managers who rely on data for strategic planning and performance monitoring.
05
- Regulatory bodies or auditors who require transparent and documented data quality assessments.
06
- Any organization or individual seeking to improve data quality and make informed decisions based on reliable data.
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Data quality report is a document that provides information on the accuracy, completeness, consistency, and reliability of data.
All organizations that handle data and are subject to data quality regulations are required to file data quality reports.
To fill out a data quality report, organizations need to collect data, assess its quality, identify issues, and document findings.
The purpose of a data quality report is to ensure that data used for decision-making is accurate, reliable, and consistent.
Information such as data sources, validation methods, quality metrics, issues identified, and improvement plans must be reported on a data quality report.
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