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Data quality in ETL process: A preliminary study
10 references·5 citing·47 second hop
Data quality in ETL process: A preliminary study (2019)Data quality in ETL process: A preliminar…Open data: Quality over quantity (2017)Open data: Quality over quant…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Methodologies for data quality assessment and improvement (2009)Methodologies for data qualit…Data quality assessment in context: A cognitive perspective (2009)Data quality assessment in co…A Survey of Extract–Transform–Load Technology (2009)A Survey of Extract–Transform…Swoosh: a generic approach to entity resolution (2008)Swoosh: a generic approach to…Building a Data Warehouse (2008)Building a Data WarehouseData Cleaning: Problems and Current Approaches. (2000)Data Cleaning: Problems and C…The impact of poor data quality on the typical enterprise (1998)The impact of poor data quali…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing (2024)An Overview of ETL Techniques…Data Model Design to Support Data-Driven IT Governance Implementation (2022)Data Model Design to Support …Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation (2021)Machine Learning Mini Batch K…La inteligencia de negocios y la analítica de datos en los procesos empresariales (2021)La inteligencia de negocios y…Investigating occupational and operational industrial safety data through Business Intelligence and Machine Learning (2021)Investigating occupational an…Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality in context (1997)Data quality assessment (2002)An overview of data warehousing and OLAP technology (1997)Exploratory Data Mining and Data Cleaning (2003)Fundamentals of Data Warehouses (2003)A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication (2011)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Reengineering the Corporation (1993)Reengineering the corporation: A manifesto for business revolution (1993)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Open data quality measurement framework: Definition and application to Open Government Data (2016)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)The Discipline of Market Leaders (1995)Overview and Framework for Data and Information Quality Research (2009)Foundations of Data Quality Management (2012)Data quality: The other face of Big Data (2014)The Data Warehouse Lifecycle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses (1998)Conceptual modeling for ETL processes (2002)Duplicate Record Detection: A Survey (2006)An analytic infrastructure for harvesting big data to enhance supply chain performance (2018)Factors influencing effective use of big data: A research framework (2019)Business Intelligence and Analytics (BIA) Usage in the Banking Industry Sector: An Application of the TOE Framework (2022)The Psychology of Attitudes (1997)Barriers to master data quality (2011)The effects of perceived relevance of travel blogs’ content on the behavioral intention to visit a tourist destination (2013)Making work fun: Investigating antecedents of perceived enjoyment in human computation games for information sharing (2014)Communication and Persuasion: Central and Peripheral Routes to Attitude Change (2015)A Theory for Record Linkage (1969)Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida (1989)Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem (1998)Frameworks for entity matching: A comparison (2009)Entity resolution (2012)NADEEF (2013)Quality-Control Handbook. (1952)A Respecification and Extension of the DeLone and McLean Model of IS Success (1997)AIMQ: a methodology for information quality assessment (2002)Discovering Data Quality Problems (2019)Open Government Data: Usage trends and metadata quality (2021)Data Quality—Concepts and Problems (2022)Past, present, and future of decision support technology (2002)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)
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References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 1996Beyond Accuracy: What Data Quality Means to Data Consumers4,663 cited
  • 2008Building a Data Warehouse2,629 cited
  • 2000Data Cleaning: Problems and Current Approaches.1,467 cited
  • 2009Methodologies for data quality assessment and improvement1,294 cited
  • 1998The impact of poor data quality on the typical enterprise743 cited
  • 2008Swoosh: a generic approach to entity resolution493 cited
  • 2009A Survey of Extract–Transform–Load Technology322 cited
  • 2009Data quality assessment in context: A cognitive perspective167 cited
  • 2017Open data: Quality over quantity146 cited

Cited by

  • 2021Investigating occupational and operational industrial safety data through Business Intelligence and Machine Learning34 cited
  • 2024An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing34 cited
  • 2021La inteligencia de negocios y la analítica de datos en los procesos empresariales25 cited
  • 2022Data Model Design to Support Data-Driven IT Governance Implementation14 cited
  • 2021Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation

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11 cited