Data Quality Issues

Susan highlights the persistent challenges in data quality, noting instances where supplier names are misspelled in datasets. She emphasizes the importance of accuracy, mentioning how even well-known companies like IBM can be misrepresented, which can lead to significant implications in data analysis.