12.6.16
Just 20 percent of enterprises are
currently using content analytics (CA), despite more than a quarter of
business executives seeing it as essential, according to new research by
information management analysts, AIIM [1]. Of respondents, 59 percent
see content analytics as essential within the next five years.
Despite this perception of content analytics, 43 percent of those
surveyed see considerable investment as an implementation challenge.
Thirty-five percent in the AIIM study ‘Using Analytics – automating
processes and extracting knowledge’ [2] cite a lack of expertise
needed to make it all happen.
“As organizations manage ever-growing volumes of information, they
look to gain business advantage from that content by deploying analytics
to derive meaning and insight,” said Bob Larrivee, AIIM’s chief
analyst. “Many executives view content analytics as essential, but
there are concerns about funding it and having the expertise to see it
through. Organizations should be identifying opportunities for CA use,
and investing in training now, so their teams have the skills to ensure
content analytics is deployed effectively.”
For organizations that are already underway with their content analytics
programs, the benefits are clear to see. Sixty-one percent of
respondents feel the intelligence derived from content analytics is most
useful in providing better insight and decision-making capabilities,
while 37 percent see improved product or service quality as CA’s key
benefit.
The variety of content types being analyzed is changing, too – 27
percent say they have a wide variety across multiple repositories, while
the Internet of Things is increasingly contributing to the content mix.
For 43 percent of respondents, data is being captured from security
systems (access readers, cameras, etc.) while 25 percent get data from
facilities equipment (HVAC, lighting, etc.). More than half of
respondents are capturing data from peripheral devices like
multi-function copiers.
“The volume and breadth of content is enormous and it’s interesting
to see the Internet of Things making such a significant contribution to
content analytics programs,” continued Larrivee. “There is value and
insight to be found in a variety of content types and to really drive
that business advantage it is important to factor this into content
analytics.”
