Understanding Data Quality. Philosophical Position and Important Definitions. D ata quality dimensions in the literature. include dimensions such as accuracy, reliability, importance , consistency, precision, timeliness, understandability, conciseness and usefulness
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Concern with physical and physical media for communications of data
Discuss the strategies for ensuring quality data in all the categories listed in the form according to levels given.
“Data quality is the foundation for any data-driven effort, but the quality of information globally is poor. Organizations need to centralize their approach to data management to ensure information can be accurately collected and effectively utilized in today’s cross-channel environment.”
Thomas Schutz, senior vice president, general manager of Experian Data Quality