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Intelligent Intelligence: How Search
Technology is Creating New Market Intelligence Content |
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21 June 2004 |
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Market intelligence used to be all about focus groups,
phone banks and sifting through field reports from
salespeople. Now with tools from companies such as FAST
Search & Transfer, Moreover in partnership with Biz360 and
Factiva getting the pulse of human insight and sentiment is
becoming a much more scientific and efficient endeavor. In
the process of creating systems that generate "intelligent
intelligence", though, a new class of content is being
created that owes little to established publishers and
everything to a new generation of technology that's
extracting human value instead of just data from
unstructured sources. It's not as relaxing as chatting
around the water cooler but it sure is more rewarding. |
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Call it
Business Intelligence, call it Market Intelligence or
Competitive Intelligence - whatever the name of these
overlapping disciplines, one of the key
requirements for businesses is to be on top of the events and
opinions in
the competitive circles that comprise their business
environment. Having unique insights into these circles can
offer first mover opportunities - or a chance to head for the
exits before it's too late. With increasingly sophisticated
enterprise portal environments that collect structured and
unstructured content from all kinds of internal niches via
search engines and related content analysis tools, business
intelligence from internal sources as well as from external
premium and open Web sources is being combined into a rich
tapestry of insights that can drive business decisions via
programming and interfaces producing content that's much more -
well, intelligent.
Factiva's Reputation Management
initiative has gained a good deal of the spotlight in this
"intelligent intelligence" arena to date, but the ring is
starting to get much more crowded. There have been a number of
announcements leading vendors supporting business intelligence
initiatives: FAST Search & Transfer
announced its new Marketrac solution that leverages its
core search technology along with advanced content analysis to
Interpret attitudes, satisfaction, or sentiment,
identify potential threats or opportunities -- in real-time and
gauge commitment, intention, or motivation buried in content
already available to an institution. The focus on FAST's
implementation is on enterprise and Web content, while Moreover
Technologies' recently
announced alliance with Biz360 is generating similar
inferences for brand management from the perspective of
broadcast, print and online published content. In both these
packages and Factiva's the emphasis is on easy-to-understand
analytics for senior management to understand how opinions and
outlooks are shaping their business environment. Other vendors
such a ClearForest, anacubis and Inxight provide more solutions to such
business problems as well in a more general framework.
Thanks to the language analytics that make this kind of
automated insight possible a whole new class of content is
coming into being. With earlier generations of search
technology the emphasis was on offering smaller haystacks in
which to search for needles - hopefully close to the top of the
stack, but with no guarantees. With these kinds of content
analysis tools the search metaphor is secondary to using those
needles, regardless of their location, to sew together an
interesting tapestry of unique information that can be applied
to a specific client's needs as readily as any consultant's
report with far less hassle and long-term expense.
This kind of ad hoc content generation to tailored
specifications and needs with a minimum of custom development
intervention is a
vContent
play of the highest order. What are some of the bigger
implications of "intelligent intelligence" content-generating
applications to consider? Here are a few of our thoughts:
- The rise of nuance management. The complexities of
creating content value out of search engines and related
technologies such as categorization tools have all centered
around trying to give structure to content sets that are
oftentimes inherently difficult to put into meaningful
systems of content organization. This science of traditional
content organization will continue to improve, but the
science of looking at patterns in text content for their own
sake seems to be developing at a much more rapid rate these
days - thanks in part to post-9/11 paranoia as a priming
force but now taking on a life of its own as businesses begin
to take advantage of language science more effectively. With
far less time and opportunity in today's corporate
environment for people to share their insights around real
water coolers, the ability to mine virtual water coolers for
the shaded and nuanced views of what makes a market tick are
becoming a far more important strategic tool.
- Text enters the world of analytics. Using software
to analyze content and derive new layers of content value is
old hat for number-crunching analysts on Wall Street used to
taking in financial information from the far corners of the
earth and feeding it into complex financial models. Content
extraction used to mean pulling out words and numbers that
could be placed in database fields and brushed up for
quantitative content uses. Now language processing tools
offer people the ability to bypass that kind of static
representation of extracted value and to create a far more
organic analytic framework that much more closely
approximates what humans really think and do with one
another. Instead of having to strip value out of text
"intelligent intelligence" tools value its most "messy"
context as the source of its value - a capability that plays
into many of today's leading sources of content, such as
Weblogs and instant messaging. Instead of "unstructured"
content being a liability, it is becoming a rich and
irreplaceable asset.
- Anyone can play this game. It's good to see
companies like Factiva and Moreover trying to leverage their
substantial assets in this new game, but as FAST and Biz360
are showing, it's a game that doesn't necessarily play
strongly into the hands of companies catering to publishers
who are more interested in creating the nuances of text than
in exploiting them. In the New Aggregation, whoever is
willing to look at text as text, with business terms for its
use as a very secondary concern, is likely to be an ultimate
winner in this sphere of "intelligent intelligence."
Gearing up one's business to maximize the value of content
for audiences in specific venues regardless of how a content
source may view its value is a cornerstone of success for
vContent providers, a capability that is being exploited to its
maximum with these market intelligence tools. In the past
this has meant extracting and eliminating human value, but in
today's marketplace it means an increasing focus on
consolidating and enhancing content's human value in new and
exciting ways. Call it what you will, it all boils down to a
great opportunity for redefining how valuable content is
created and marketed. If you're intelligent enough to handle
it.
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John Blossom
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