Quantum
Corporation released new survey data that reveals the
most common challenges organizations struggle with around effective data
management, storage and analysis. The survey, conducted by ESG Research in fall 2021, queried hundreds of IT
professionals and line-of-business leaders across North America, the UK and
Asia-Pacific.
Unstructured
data is expanding at massive volumes and remains key to business growth -
according to the survey seven out of ten management teams put their data at the
core of growth -- but there are key trends emerging that will have an impact on
the success of capitalizing on this data moving forward. The survey findings
paint a picture of changing data models that create management challenges,
leaving data more vulnerable to security issues, such as ransomware attacks,
that can have a devastating impact on businesses.
Key findings
from the survey include:
Unstructured data management, storage complexity
and cost remain barriers to adoption, resulting in valuable data being
discarded or mismanaged
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Respondents see unstructured
data as underleveraged and overly complex: 52% of c-level respondents strongly agree
that the opportunity exists for their organization to better leverage its
existing data to create business value. Despite its promise, 38% strongly
agreed that the complexity and volume of data produced makes it difficult to
understand what data can be used to generate business value.
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Data quality and storage
costs most often inhibit data management strategies: Ensuring data quality (42%) and data
storage costs (38%) are the top two challenges cited when it comes to data
management.
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Data retention is top of
mind: 78% of
organizations do not store data on primary storage for the amount of time they
would like to. 88% of respondents say retaining more data longer is an avenue
to greater business value creation, but 80% of respondents say determining which
data to delete and when is complex and time consuming.
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Organizations struggle with
when to delete or store data: More than half of the organizations surveyed (58%) feel
they have recently eliminated data with value. Privacy protection and
compliance related pain points are the top reasons why valuable data is being
discarded before it can create business value.
Data sprawl and hybrid cloud models create
vulnerable environments
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Data continues to be
distributed and mobile: 78% of survey respondents said their organization
frequently migrates data between environments (cloud, on-prem, edge), with a
plurality opting for a hybrid cloud model that stores most data on a public
cloud infrastructure, with some data remaining on-premises.
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Data sprawl makes management
more challenging: 88% of respondents confirmed that distributed data
complicates implementing an end-to-end data strategy.
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Data migration becomes a
security concern: 87% of respondents say securely moving data from one
environment to another causes them concern. This trend combined with a lack of
formal data retention and destruction strategy - nearly 3 out of 4
organizations represented (74%) have not formalized their data retention/data
destruction strategies - creates an environment rich for ransomware and
cyber-attacks.
Growing cybersecurity threats require new
approaches
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Ransomware attacks in the
enterprise are growing: Two out of five respondents reported that their
organization had been a victim of a successful ransomware attack in the last
two years, with 82% of organizations defaulting to paying the ransom.
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Ransomware can have an
impact beyond budgets: In addition to the cost of the ransom itself, attacks
can have an impact on organization productivity - the survey found that the
median cost for ransoms was reported as $375K - which equates to the cost of
approximately 2.1 hours of downtime for a mission-critical
workload.
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Security concerns are
growing, but strategy is lacking: Out of those surveyed, 87% of
respondents say their executives are concerned about future ransomware attacks
and on the other hand, just 6% of organizations impacted could restore from an
air-gapped backup solution.
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Cost-effective data
retention is critical: Storing data longer can increase resiliency and empower
data monetization -- 65% of our respondents say their organization would be
better equipped to recover from an attack if they were able to retain their
data for longer.
An increase in
enterprise security threats, coupled with concerns around data retainment,
cost, data sprawl and cloud-based management models, as well as a lack of
response strategy, points to an industry-wide need for more comprehensive and
cost-effective data management solutions.
"The research we conducted for Quantum
underscores the absolute need for enterprises to have a data management
strategy in place-including storing, archiving, accessing and analyzing the
massive amounts of data these organizations generate," said Scott Sinclair at
ESG. "Without the right solutions and strategy in place, organizations are
missing out on the potential value of this data and leaving themselves open to
exorbitant costs and risks of ransomware and other cyberthreats."