Redundant Dark Data
September 21, 2015
Have you heard the one about how dark data hides within an organization’s servers and holds potential business insights? Wait, you did not? Then where have you been for the past three years? Datameer posted an SEO heavy post on its blog called, “Shine Light On Dark Data.” The post features the same redundant song and dance about how dark data retained on server has valuable customer trend and business patterns that can put them bring them out ahead of the competition.
One new fact is presented: IDC reports that 90% of digital data is dark. That is a very interesting fact and spurs information specialists to action to get a big data plan in place, but then we are fed this tired explanation:
“This dark data may come in the form of machine or sensor logs that when analyzed help predict vacated real estate or customer time zones that may help businesses pinpoint when customers in a specific region prefer to engage with brands. While the value of these insights are very significant, setting foot into the world of dark data that is unstructured, untagged and untapped is daunting for both IT and business users.”
The post ends on some less than thorough advice to create an implementation plan. There are other guides on the Internet that better prepare a person to create a big data action guide. The post’s only purpose is to serve as a search engine bumper for Datameer. While Datameer is one of the leading big data software providers, one would think they wouldn’t post a “dark data definition” post this late in the game.
Whitney Grace, September 21, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Data Darkness
May 28, 2015
According to Datameer, organizations do not use a large chunk of their data and it is commonly referred to “dark data.” “Shine Light On Dark Data” explains that organizations are trying to dig out the dark data and use it for business intelligence or in more recent terms big data. Dark data is created from back end business processes as well as from regular business activities. It is usually stored on storage silo in a closet and only kept for compliance audits.
Dark data has a lot of hidden potential:
“Research firm IDC estimates that 90 percent of digital data is dark. This dark data may come in the form of machine or sensor logs that when analyzed help predict vacated real estate or customer time zones that may help businesses pinpoint when customers in a specific region prefer to engage with brands. While the value of these insights are very significant, setting foot into the world of dark data that is unstructured, untagged and untapped is daunting for both IT and business users.”
The article suggests making a plan to harness the dark data and it does not offer much in the way of approaching a project other than making it specifically for dark data, such as identifying sources, use Hadoop to mine it, and tests results against other data sets.
This article is really a puff piece highlighting dark data without going into much detail about it. They are forgetting that the biggest movement in IT from the past three years: big data!
Whitney Grace, May 28, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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