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Causes of
Data Loss
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The chart below
clearly
represents the
complexities and
differing
perceptions of
data loss
between what
customers
believe caused
their loss and
the impact of
the loss versus
what is actually
discovered once
we evaluate each
situation. These
findings
reinforce the
complexities of
lost data.
|
|
Causes
of Data Loss: |
Customer
Perception
|
Data
Recovery
Findings
|
|
|
|
|
Human Error
|
11%
|
26%
|
Computer Viruses
|
2%
|
4%
|
|
Natural
Disasters |
1%
|
2%
|
|
Hardware or
System Problem |
78%
|
56%
|
|
Software
Corruption or
Program Problem |
7%
|
9%
|
|
Although these findings
reinforce the complexities of
understanding lost data, they
can serve as a guideline when
determining the most effective
recovery solution.
For example, 78% of customers
believe their data was lost due
to hardware or system problems
and may have also assumed that
their data could only be
recovered by shipping in their
hard drive for an In-Lab
recovery service.
Findings indicate only 56% of
lost data situations are a
result of hardware problems. So,
in reality, their data may have
been able to be recovered with
data recovery software.
Our professional staff of data
recovery specialists is here to
help guide you to the right
solution to recover your data.
Simply contact us at
330-920-1136 for free
consulting.
|
Costs of
Data Loss
|
|
With no data and
no access to
your system,
lost data is a
financial
disaster. Our
data recovery
specialists
determine the
best data
recovery
solution to get
you back up and
running as
quickly as
possible. The
chart below
outlines the
costs associated
with computer
downtime and
lost data for
businesses.
|
|
Industry
Sector Revenue
Per Hour |
Lost
Revenue Per Hour |
|
|
|
|
Energy
|
$2.8 million |
|
Telecommunications
|
$2.0 million |
|
Manufacturing
|
$1.6 million |
|
Financial
Institutions
|
$1.4 million |
|
Information
Technology
|
$1.3 million |
|
Insurance |
$1.2 million |
|
Retail
|
$1.1 million |
|
Pharmaceuticals
|
$1.0 million |
|
Banking |
$996,000 |
|
Source: IT
Performance
Engineering &
Measurement
Strategies:
Quantifying
Performance
Loss, Meta
Group, October
2000. |
|