Report Overview: The term “Content Analytics” has been coined to cover a range of search and reporting technologies which can provide similar levels of
business intelligence and strategic value across
unstructured data to that conventionally associated with
structured data reporting. Sophisticated content search across text and rich media file-types, combined with trend analysis, content assessment and behavioral reporting, has created the opportunity to track and
manage unstructured content and digital assets with the same levels of capability as BI reporting of structured content - with associated business benefits of content optimization, asset management, pattern detection and compliance monitoring.
As is usual with new technology, levels of awareness of both the technology and the naming terminology vary considerably.
AIIM has measured this in the report and provided a glossary of the main terms in Appendix 2. AIIM has also explored the user-perceived limitations of conventional search, and the potential savings that could be achieved by application of content analytics to a number of business scenarios such as fraud detection, asset protection, healthcare research and market monitoring.
Key Findings
For 72% of respondents, it’s harder to find information owned by their organization than information not owned by them – i.e, on the Web.
Of the 47% who find they frequently need to use Advanced Search options, more than half would like something more effective.
70% would find advanced analytic functions “extremely useful” or “very useful.”
For most content types, our respondent’s ability to “research” is 3-6 times less than their ability to “search”, particularly for rich media files, but also office documents and emails.
E-discovery, Digital Asset Management (DAM), Web Analytics and De-duplication are the better known technologies compared to Sentiment Analysis, Copyright Detection and Digital Forensics.
There are strong plans to adopt DAM, Faceted Search, E-discovery and Content Assessment in the next 18 months.
The biggest obstacle faced regarding content decommissioning is, “not clear which content is valuable and which is not”. There is also considerable “Fear of the compliance and regulatory impact of deleting information.”
Only 15% have an automatic way of finding and deleting duplicates in their content stores, with just 8% able to analyze them automatically for relevancy and to delete irrelevant content.
50% would find it of “high” or “very high” commercial value to be able to link a customer/citizen/staff-member search across structured (database) data & unstructured documents & case notes. 44% would find it of “high” or “very high” commercial value to be able to automatically redact (blank out) sensitive information across forms, etc.
81% of those who have digital assets to manage are not using a dedicated Digital Asset Management system but 14% of our respondents are planning to implement one in the next 18 months. 48% store digital assets and rich media on ad hoc file shares.
59% would find it of “high” or “very high” commercial value if they could use a faceted search across multiple metadata tags to cross-reference categories of rich media. 50% would find it of “high” or “very high” commercial value if they could detect unauthorized use of their assets across the web.
Net spending on Enterprise Search, Digital Asset Management and Content Analytics is set for a considerable increase in the next 12 months.
