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Before visualization, data visualization consultant apply thorough data validation and cleansing procedures to guarantee data accuracy. To find and fix mistakes, inconsistencies, and duplication, they make use of automated technologies. To guarantee data relevance and quality, consultants collaborate closely with data sources. Additionally, they use best practices for data governance, such as routine audits and quality assurance. Effective decision-making is supported by visualizations that offer dependable and trustworthy insights by upholding strict data standards and using accurate data.