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SPEAKER: Can you guess what inaccurate or bad data costs businesses every year? Thousands of dollars, millions, billions? Well, according to IBM, the yearly cost of poor quality data is $3.1 trillion in the US alone. Thats a lot of zeros. Now can you guess the number one cause of poor quality data? Its not a new system implementation or a computer technical glitch. The most common factor is actually human error. Heres a spreadsheet from a law office. It shows customers, the legal services they bought, the service order number, how much they paid, and the payment method. Dirty data can be the result of someone typing in a piece of data incorrectly, inconsistent formatting, blank fields, or the same piece of data being entered more than once, which causes duplicates. Dirty data is data thats incomplete, incorrect, or irrelevant to the problem youre trying to solve. When you work with dirty data, you cant be sure that your results are correct. In fact, you can pretty much bet they
