Data Quality Management: Tools, Roles, and Processes
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Data Quality Management: Tools, Roles, and Processes
Learn how to implement data quality management, what data quality tools and techniques a data quality analyst may use to maintain high-quality data.
Oct 17, 2019
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Day 3/14 – Data Validation & Data Project Frameworks Data Validation Controls what data can be entered in a cell Helps reduce errors and improve data quality Examples: number-only cells, dropdown lists, date limits Data Sources Real Users: data from actual people using a system Simulated Users: artificially generated data that imitates real behavior Frameworks Real Users Data Plan: decide what data is needed and why Develop: collect, store, and clean data Analyse: find patterns and insights Simu
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