Data consolidation is crucial for businesses and organizations that need to make informed decisions based on comprehensive and accurate data. It helps in reducing data silos, improving data quality, and enabling better insights.

Data Collection: Gather data from various sources, such as databases, spreadsheets, APIs, and external systems.

Data Cleaning: Ensure the data is accurate, complete, and free of errors. This may involve removing duplicates, correcting errors, and handling missing values.

Data Transformation: Convert data into a consistent format or structure. This can include