The Dirty Data Problem

The "Dirty Data" problem occurs when digital information becomes inaccurate, inconsistent, or outdated—like having typos, duplicate entries, or incomplete records. This can lead to incorrect insights, poor decision-making, and wasted resources. Imagine trying to find your favorite song in a playlist where some titles are misspelled or duplicated; it becomes difficult to locate what you want. Keeping data clean and organized is essential for reliable analysis and effective operations, ensuring the information guiding decisions is accurate and trustworthy.