Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Cloud Security

// // //
10:30 AM
Larry Loeb
Larry Loeb
Larry Loeb

Survey Finds Enterprise Concerned About Mass Data Fragmentation

For many organizations, the public cloud has failed to live up to expectations.

Cohesity, of the UK, commissioned independent market research company Vanson Bourne to conduct a quantitative research studyinto mass data fragmentation, the impact it is having on organizations and the benefits which can be achieved by solving it. The research was carried out in early 2019. Nine hundred senior IT decision makers were interviewed, from the US (250), the UK (250), France (100), Germany (100), Australia (100) and Japan (100). Respondents were from organizations with 1,000 employees or more, from a variety of private or public sectors with a focus on financial services, healthcare, life sciences, media and entertainment, technology and the public sector.

Well, we can see the survey was broad enough to get almost all major enterprise groups included. So, what did they think?

Ninety-one percent of respondents said that they believed the cloud would simplify operations, increase agility, reduce costs and provide greater insights, but many of those hopes haven't come to fruition. About a third (32%) of respondents' organizations have achieved all of the public cloud benefits they expected they would, which leaves the remaining two thirds only achieving some (58%) or a few (10%) of the expected benefits.

The same percentage of those disappointed (91%) specify mass data fragmentation as the cause. But 98% expect that their organization's public cloud-based storage will increase by 93% on average between 2018 and the end of 2019. It seems cloud use will be going forward even if there are current disappointments.

Mass data fragmentation means a proliferation of data that is spread across myriad different locations, infrastructure silos and management systems that prevents organizations from fully utilizing its value. It includes but is not exclusive to public cloud environments.

About half (44%) of the respondents use three to four point products to manage their data (backups, archives, files, test/dev copies) across public clouds today, while nearly one fifth (17%) are using as many as five to six separate solutions. Respondents expressed their concerns in the report about using multiple products to move data between on-premises and public cloud environments if those products don't integrate. Fifty-eight percent are concerned about security, 46% worry about costs, and 42% are concerned about compliance. There may also be a functional disconnect between senior management and IT. Eighty-eight percent of respondents say that their IT teams have been given a mandate to move to the public cloud by senior management. However, nearly half of those respondents (41%) say they are struggling to come up with a strategy that effectively uses the public cloud to the complete benefit of the organization.

"Given the amount of data organizations accumulate on a daily basis, it's almost inevitable that without proper management, organizations were going to lose control of their data," said Katie Noyce, research manager of Vanson Bourne. "This problem is now impacting organizations' ability to make the best use of the public cloud. Over nine in ten (91%) of those who feel the promise of this service hasn't been realized attribute this failure to the fact that their data is greatly fragmented. It seems like a no-brainer that organizations need to get a hold on their data, before it gets a hold on them."

— Larry Loeb has written for many of the last century's major "dead tree" computer magazines, having been, among other things, a consulting editor for BYTE magazine and senior editor for the launch of WebWeek.

Comment  | 
Print  | 
More Insights
Newest First  |  Oldest First  |  Threaded View
I Smell a RAT! New Cybersecurity Threats for the Crypto Industry
David Trepp, Partner, IT Assurance with accounting and advisory firm BPM LLP,  7/9/2021
Attacks on Kaseya Servers Led to Ransomware in Less Than 2 Hours
Robert Lemos, Contributing Writer,  7/7/2021
It's in the Game (but It Shouldn't Be)
Tal Memran, Cybersecurity Expert, CYE,  7/9/2021
Register for Dark Reading Newsletters
White Papers
Current Issue
Improving Enterprise Cybersecurity With XDR
Enterprises are looking at eXtended Detection and Response technologies to improve their abilities to detect, and respond to, threats. While endpoint detection and response is not new to enterprise security, organizations have to improve network visibility, expand data collection and expand threat hunting capabilites if they want their XDR deployments to succeed. This issue of Tech Insights also includes: a market overview for XDR from Omdia, questions to ask before deploying XDR, and an XDR primer.
Flash Poll
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
PUBLISHED: 2022-06-30
** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: CVE-2012-3414. Reason: This candidate is a duplicate of CVE-2012-3414. Notes: All CVE users should reference CVE-2012-3414 instead of this candidate. All references and descriptions in this candidate have been removed to prevent accidental u...
PUBLISHED: 2022-06-30
In general, Ember.js escapes or strips any user-supplied content before inserting it in strings that will be sent to innerHTML. However, the `tagName` property of an `Ember.View` was inserted into such a string without being sanitized. This means that if an application assigns a view's `tagName` to ...
PUBLISHED: 2022-06-30
Xiaongmai AHB7008T-MH-V2, AHB7804R-ELS, AHB7804R-MH-V2, AHB7808R-MS-V2, AHB7808R-MS, AHB7808T-MS-V2, AHB7804R-LMS, HI3518_50H10L_S39 V4.02.R11.7601.Nat.Onvif.20170420, V4.02.R11.Nat.Onvif.20160422, V4.02.R11.7601.Nat.Onvif.20170424, V4.02.R11.Nat.Onvif.20170327, V4.02.R11.Nat.Onvif.20161205, V4.02.R...
PUBLISHED: 2022-06-30
A NULL pointer dereference flaw was found in the Linux kernel’s KVM module, which can lead to a denial of service in the x86_emulate_insn in arch/x86/kvm/emulate.c. This flaw occurs while executing an illegal instruction in guest in the Intel CPU.
PUBLISHED: 2022-06-30
A vulnerability was found in the Linux kernel's nft_set_desc_concat_parse() function .This flaw allows an attacker to trigger a buffer overflow via nft_set_desc_concat_parse() , causing a denial of service and possibly to run code.