Data integrity assessor: Evaluate data reliability and accuracy

The data integrity assessor streamlines data profiling, ensuring your datasets are complete and accurate with easy-to-use metrics and insights.

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Evaluate your data's reliability and accuracy effortlessly

Ensure high standards with comprehensive data quality assessment

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Input detailed dataset information

Easily enter key dataset details, including name, source type (e.g., CSV, SQL, API), and specific quality metrics like completeness and accuracy. This feature ensures that all relevant information is captured to enhance the AI's ability to provide reliable evaluations.

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Track profiling dates effectively

Provide start and end dates for profiling, enabling precise tracking of assessments over time. This functionality helps users establish a historical context for data evaluation, aiding in spotting trends and improving ongoing data quality efforts.

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Identify specific data issues

Document specific data issues encountered during the assessment process for thorough investigation. By pinpointing challenges directly within the app, users can streamline their analysis and focus on resolutions that improve overall data integrity.

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Add comments for in-depth analysis

Utilize the comments section to elaborate on findings or observations during the assessment. This feature facilitates deeper discussions among team members while promoting collaboration in identifying solutions to improve data reliability.

Additional information

Best for: Data Quality Analyst, Data Profiling Specialist, Data Engineer, Data Quality Assurance Analyst, Data Insights Analyst

Published:
byModernIQs