Data that has been written by the application, but the file system has cached it in memory so it has not yet been written to disk.
A common problem found in applications that employ databases. Dirty data may include incorrect or missing data values, and duplicate records, which can lead to problems such as inaccurate queries and reports. Dirty data may be the caused by badly managed data imports, poor entry standards for end users, poor coding or customization of the CRM system. When implementing a CRM system, one critical component is to ensure that your existing data is cleansed and properly migrated to the new system.
Inconsistent, missing, incomplete, or erroneous data. Source data often contains a high percentage of "dirty" data.
Data which enters an information system in a format or with values which the system has not been programmed to handle. Using various assumptions, such data can be "cleaned" or filtered in order to make it usable to the software.
Dirty Data is a term used by IT practitioners when creating data capture forms. Dirty Data is data that is misleading, incorrect or without generalized formatting, contains spelling or punctuation error, (see: transcription error), data that is inputted in a wrong field or duplicate data. It is commonly prevented using input masks or validation rules, however, completely removing the Dirty Data from a database is in some cases impossible.