“Fake news is a type of yellow journalism or propaganda that consists of deliberate misinformation or hoaxes spread via traditional print and broadcast news media or online social media. Fake news is written and published with the intent to mislead in order to damage an agency, entity, or person, and/or gain financially or politically, often with sensationalist, exaggerated, or patently false headlines that grab attention.”
“Dirty data, also known as rogue data, is inaccurate, incomplete or erroneous data, especially in a computer system or database. Dirty data can contain such mistakes as spelling or punctuation errors, incorrect data associated with a field, incomplete or outdated data, or even data that has been duplicated in the database. It can be cleaned through a process known as data cleansing.”
And that’s just the perception and impact of basic data quality (DQ). Even more critical, business decisions are made every day on uncorrelated data which may not be “dirty,” but missing key information that might have resulted in a better decision and outcome.
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