Improving the quality of information is cited by organizations as the leading benefit of data preparation activities. Data quality efforts are focused on clean data, but increasingly, the importance of bad data is also recognized. To be more accurate, the original data as recorded by an organization’s various devices and systems is important. To fully perform data preparation, organizations must know what data exists – both good and bad.
Topics: Data Governance, Data Management, Data Preparation, Data, Data Pipeline