Data Quality Insights
Susan highlights the critical role of data normalization in identifying fraud and misclassified spending, revealing a staggering $31.7 million incorrectly allocated. She emphasizes the importance of investing in data quality, as neglecting it can lead to significant financial losses. Ultimately, understanding the value of high-quality data can transform how businesses allocate resources and achieve savings.In this clip
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