Word of the Day: dark data

Word of the Day Daily updates on the latest technology terms |December 20, 2017

dark data Dark data is digital information that is not being used. Consulting and market research company Gartner Inc. describes dark data as "information assets that an organization collects, processes and stores in the course of its regular business activity, but generally fails to use for other purposes." Many times, an organization may leave data dark for practical reasons. The data may be dirty and by the time it can be scrubbed, the information may be too old to be useful. In such a scenario, records may contain incomplete or outdated data, be parsed incorrectly or be stored in file formats or on devices that have become obsolete.   Increasingly, the term dark data is being associated with big data and operational data. Examples include server log files that could provide clues to website visitor behavior, customer call detail records that incorporate unstructured consumer sentiment data and mobile geolocation data that could reveal traffic patterns that would help with business planning.   Potentially, this type of dark data can be used to drive new revenue sources, eliminate waste and reduce costs. As a result, many organizations that store dark data for regulatory compliance purposes are using Hadoop to identify useful dark bits and map them to possible business uses. Quote of the Day "AI has also proved effective at analyzing unstructured data, or 'dark data,' from social channels and other web interactions and providing an unprecedented understanding of customer behavior." - Corinne Sklar   Trending Terms dark post dark web dark social unstructured data big data management semi-structured data   Learning Center Understanding artificial intelligence for retail customers Channel partners are finding opportunities to provide artificial intelligence for retail customers. Deloitte report reveals the power of unstructured data analytics A new report from Deloitte says businesses should follow the path to the dark side and double down on unstructured data analytics. Unstructured data analysis gains importance for businesses Unstructured data analysis has become an important area for companies, as industries move farther from paper-based processes and into more nontextual business content. Ten analytics success stories in a nutshell How are companies like Burberry, CVS, Coca-Cola and L'Oreal experiencing success with analytics? The Data Mill reports. Big data systems shine light on neglected 'dark data' The processing power of Hadoop and other big data tools is making it more feasible for companies to tap into dark data, information that previously was left untouched in IT systems. Writing for Business Information extraction is a process intended to pull meaningful data from noisy text without making _________ changes in the author`s intended meaning. a. substantial b. substantive Answer   Stay In Touch For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com   Visit the Word of the Day Archives and catch up on what you've missed!   FOLLOW US About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Whatis.com, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget, Whatis, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2016 TechTarget. All rights reserved.