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- Data_quality_assessment abstract "Data quality assessment is the process of exposing technical and business data issues in order to plan data cleansing and data enrichment strategies. Technical quality issues are generally easy to discover and correct, such as: Inconsistent standards in structure, format/ values Missing data, default values Spelling errors, data in wrong fieldsBusiness quality issues are more subjective and are associated with business processes such as generating accurate reports, ensuring that data driven processes are working correctly.Business data quality measures like accuracy and correctness are subjective and need Subject Matter Expert (SME) involvement to assess data quality.".
- Data_quality_assessment wikiPageExternalLink HANDBOOK%20ON%20DATA%20QUALITY%20ASSESSMENT%20METHODS%20AND%20TOOLS%20%20I.pdf.
- Data_quality_assessment wikiPageID "26421994".
- Data_quality_assessment wikiPageRevisionID "595547439".
- Data_quality_assessment hasPhotoCollection Data_quality_assessment.
- Data_quality_assessment subject Category:Data_quality.
- Data_quality_assessment comment "Data quality assessment is the process of exposing technical and business data issues in order to plan data cleansing and data enrichment strategies.".
- Data_quality_assessment label "Data quality assessment".
- Data_quality_assessment sameAs m.0bbts61.
- Data_quality_assessment sameAs Q5227337.
- Data_quality_assessment sameAs Q5227337.
- Data_quality_assessment wasDerivedFrom Data_quality_assessment?oldid=595547439.
- Data_quality_assessment isPrimaryTopicOf Data_quality_assessment.