Enterprises, particularly those in the U.K., have a massive storage management blind spot.
Veritas, the backup and recovery company spun out of Symantec, has released its Databerg Report 2015 for Europe, Middle East and Africa (EMEA). For CIOs and storage administrators, it contains plenty of scares that have nothing to do with Halloween.
Like icebergs, which are a hazard to seafaring vessels, a ‘databerg’ consists of three types of data. There’s the tip of the databerg, the business-critical data that’s typically accounted for and well-managed. Then comes redundant, obsolete or trivial (ROT) data that needs to be goaded into deletion. Finally, dark data is lurks in the deep and can be a mix of business-critical, ROT and unsanctioned data.
In a Veritas-sponsored survey conducted by Vanson Bourne, 1,475 respondents painted a troubling picture of their databergs and the costs to keep them afloat.
On average, the storage environments of EMEA organizations consist of 54 percent dark data, 32 percent ROT data and 14 percent business-critical data. By 2020, this can add up to $891 billion in storage and management costs that can otherwise be avoided.
Some of the worst offenders are enterprises in the U.K.
“The study reveals that one in three companies in the UK store Redundant, Obsolete and Trivial (ROT) data in their corporate networks,” said Matthew Ellard, senior vice president EMEA at Veritas, in a statement. “A typical midsize company with 500 terabytes of data wastes nearly a million pounds [$1.5 million] each year maintaining trivial files, including photos, personal ID documents, music and videos.”
Fifty-nine percent of data stored and processed by businesses in the U.K. can be classified as dark data, second only to Germany (66 percent). Only 12 percent of the data in these organizations can be considered business critical. The average midsize U.K. company with a petabyte of storage is spending nearly $670,000 on redundant, obsolete or trivial data that can be safely deleted.
Databergs are caused, in part, by employees’ free-wheeling attitudes toward corporate data policies. “They store unstructured data from personal photos, stored by 57 percent of employees, to personal ID and legal documents by 53 percent, as well as music, games and videos, stored by 45 percent, 43 percent and 29 percent respectively,” stated the report.
IT executives and managers also shoulder some of the blame, mainly for basing their storage strategies, budgets and buying decisions on data volume rather than its value. Also contributing to the problem is the lure of free cloud file sync and share services, which can enhance employee collaboration at the expense of IT oversight and potentially trigger compliance violations.
Pedro Hernandez is a contributing editor at InfoStor. Follow him on Twitter @ecoINSITE.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.