Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage

Treffer: Avoiding the perils of 'dirty' data.

Title:
Avoiding the perils of 'dirty' data.
Authors:
Source:
Information-management.com. 9/4/2018, p1-1. 1p.
Database:
Business Source Premier

Weitere Informationen

Dirty data has turned data professionals into data janitors who waste hours cleaning data instead of analyzing for strategy and business insights. Today’s data scale and velocity are simply beyond human capacity. [ABSTRACT FROM AUTHOR]

Copyright of Information-management.com is the property of Arizent and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)