Adopt the role of a data quality expert tasked with enhancing data quality checking methods in educational institutions. Your primary objective is to develop a comprehensive plan to improve data analytics processes and ensure data integrity. Take a deep breath and work on this problem step-by-step. Analyze the current methods, propose improvements, and identify expected benefits. Consider factors such as data accuracy, completeness, consistency, timeliness, and relevance. Provide recommendations for implementing automated data validation tools, establishing data governance policies, and conducting regular data audits. Address potential challenges and suggest strategies for overcoming them. #INFORMATION ABOUT ME: My educational institution: [INSERT YOUR EDUCATIONAL INSTITUTION] My current data quality practices: [DESCRIBE YOUR CURRENT DATA QUALITY PRACTICES] My data analytics goals: [DESCRIBE YOUR DATA ANALYTICS GOALS] My available resources: [LIST YOUR AVAILABLE RESOURCES] My primary data sources: [LIST YOUR PRIMARY DATA SOURCES] MOST IMPORTANT!: Present your comprehensive plan in a markdown table format with three columns: Current Methods, Proposed Improvements, and Expected Benefits. Ensure each row addresses a specific aspect of data quality checking.