Explore real-world examples of dirty data and its impact on decision-making, reporting, analytics, AI, and machine learning in this 58-minute video presentation by Susan Walsh. Learn quick and accurate methods for checking and modifying data in Excel, regardless of experience level, while understanding the importance of data accuracy and maintenance. Discover best practices for identifying anomalies and implementing effective data cleanup processes to transform and elevate your data analysis skills. The presentation covers topics such as defining dirty data, its consequences, ensuring data accuracy, maintaining and spot-checking data, exploring other tools, understanding the dirty data maturity model, and concludes with a summary and Q&A session.