This ebook examines the limitations of spreadsheets for modern analytics and contrasts them with automated data preparation. It highlights challenges such as manual processes, lack of scalability, poor governance, and high error risk in spreadsheet-driven workflows. The guide demonstrates how automated data preparation improves transparency, repeatability, and collaboration while supporting larger data volumes and diverse data types. By visualizing data and transformations in real time, teams can validate results faster and build trust in outputs. The ebook positions automation as essential for enterprise-grade analytics and AI initiatives.

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