Microsoft Excel data cleaning and analysis workflows

Effective data management in Microsoft Excel requires a structured workflow for cleaning, analyzing, and visualizing datasets. Key data cleaning processes include removing duplicates, handling missing or inconsistent data, and correcting numbers or dates stored as text. Tools such as TRIM, Find and Replace, Text to Columns, and Power Query are essential for standardizing text and reshaping data to prevent errors in formulas and PivotTables.

Once data is cleaned, users can apply analysis techniques using formulas, logical functions, and PivotTables to identify trends and summarize complex information. The final stage involves data visualization, where interactive dashboards are created using charts, slicers, and conditional formatting to present actionable insights professionally.