Data that is incomplete, incorrect, or irrelevant to the problem you're trying to solve
Data that is complete, correct, and relevant to the problem you're trying to solve
Transform data into a useful format for analysis and give it a reliable infrastructure
| Description | Possible causes | Potential harm to businesse |
|---|---|---|
| Any data record that shows up more than once | Manual data entry, batch data imports, or data migration | Skewed metrics or analyses, inflated or inaccurate counts or predictions, or confusion during data retrieval |
| Description | Possible causes | Potential harm to businesses |
|---|---|---|
| Any data that is old should be replaced with newer and more accurate information | People changing roles or companies, or software and systems become obsolete | Inaccurate insights, decision-making, and analytics |
| Description | Possible causes | Potential harm to businesses |
|---|---|---|
| Any data that is missing important fields | Improper data collection or incorrect data entry | Decreased productivity, inaccurate insights, or inability to complete essential services |
| Description | Possible causes | Potential harm to businesses |
|---|---|---|
| Any data that is complete but inaccurate | Human error inserted during data input, fake information, or mock data | Inaccurate insights or decision-making based on bad information resulting in revenue loss |
| Description | Possible causes | Potential harm to businesses |
|---|---|---|
| Any data that use different formats to represent the same thing | Data stored incorrectly or errors inserted during data transfer | Contradictory data points leading to confusion or inability to classify or segment customers |
Definition