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Bob Larrivee, Chief Analyst, AIIM

Many executives view content analytics as essential but there are undoubted concerns about funding it and having the expertise to see it through

80% of enterprises are not yet using content analytics, although many executives see it as essential

Silver Spring, Md., December 06, 2016 – Just 20% 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. 59% of respondents see content analytics as essential within the next five years.

Despite this perception of content analytics, 43% of those surveyed see considerable investment as an implementation challenge. 35% in the AIIM study ‘Using Analytics – automating processes and extracting knowledge’ cite a lack of expertise needed to make it all happen.

“As organisations manage ever-growing volumes of content, they look to gain business advantage from that content by deploying CA to derive meaning and insight,” said Bob Larrivee, AIIM’s Chief Analyst. “Many executives view content analytics as essential but there are undoubted concerns about funding it and having the expertise to see it through. Organisations 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 organisations that are already underway with their content analytics programmes, the benefits are clear to see. 61% of respondents feel the intelligence derived from content analytics is most useful in providing better insight and decision making capabilities, while 37% feel it is improved product or service quality.

The variety of content types being analysed is changing too - 27% say they have a wide variety across multiple repositories, while the Internet of Things (IoT) is increasingly contributing to the content mix.

For 43% of respondents, data is being captured from security systems (access readers, cameras, etc.) and from facilities equipment (HVAC, lighting, etc.) by 25%. 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 programmes,” continued Bob 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.”

Other key findings include:

• 52% believe automated content curation would be very useful.
• 14% of respondents use automated analysis on social streams, communities, news feeds, and inbound communications.
• Content analytics is driving auto-classification for tagging and routing to archive by 22% of respondents.
• 25% of respondents say their processes are flowing faster and more smoothly as a result of using inbound analytics.
• Around one-third of respondents say their organisation has more than one content analytics application in place, while 15% say they are currently planning for it.

The research for ‘Using Analytics – automating processes and extracting knowledge’ was underwritten in part by ASG, ABBYY, Kofax, RecordPoint and OpenText.

The full report, which includes a number of recommendations for progress, is free to download here.
The survey was taken using a web-based tool by 276 individual members of the AIIM community during September and October, 2016.

About AIIM

AIIM has been an advocate and supporter of information professionals for 70 years. The association’s mission is to ensure that information professionals understand the current and future challenges of managing information assets in an era of social, mobile, cloud and big data. Founded in 1943, AIIM builds on a strong heritage of research and member service. Today, AIIM is a global, non-profit organisation that provides independent research, education and certification programs to information professionals. AIIM represents the entire information management community, with programs and content for practitioners, technology suppliers, integrators and consultants.

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