Useful context is the latest
frontier of Internet information. Google is pioneering the next stage of Internet search with its
Knowledge Graph, which aims to understand the searcher’s intent and the
contextual meaning of his/her search terms[1]. Facebook has been developing its Social Graph
for people to people context by learning the personal relationships of its
users[2]. Yahoo has been developing the Interest Graph
which builds a context of personal identity that can be used as indicators of
such things as what people might want to do or buy, where they might want to
go, or who they might want to meet, vote for or follow.[3]
[3]
Wikipedia, Interest Graph, http://en.wikipedia.org/wiki/Interest_Graph,
October 9, 2013
[4] Similar contextual build-out efforts are also under way for political campaigns.
Now the Industry Graph, created
by Industry Building Blocks (IBB) and News Patterns, is another source of useful
decision making context. The Industry
Graph is being developed to serve competitive strategy and financial decision
making. The Industry Graph first creates
useful competitive context around the companies competing in 15,000 granular industries[4]. This high degree of granularity enables
useful intra-industry and inter-industry financial and strategy analyses. The Industry Graph creates a real time
situational awareness by prioritizing
news that might indicate interesting industry trends or changes within the
industry composition and broader inter-industry ecosystem. This Industry Graph context is the
foundation for superior searching, discovery, competitive analysis, situational
awareness, market anticipations, financial tracking and investing strategies.
Industry Graph Discovery
starts with granular industry definitions. In the above illustration, industry i2 is the relevant industry from which granular and contextual searching and discovery is required. Real time news and social media are
continuously gathered relative to a specific company (red check marks)
and the specific contextual lens of industry 2 with associated competitors,
suppliers, buyers, substitutes and new entrants (blue check marks). Competitive pattern seeking algorithms
discover the priority articles and trends that might deserve attention within
and between industry forces.
Key Advantages of Industry Graph Search and Discovery
·
Granular Industry Graph context enables superior
searching, discovery, competitive analysis and financial tracking.
·
Searcher does not need to define the details of his/her
competitive environment: competitors, suppliers, buyers, new entrants and
substitute relationships.
·
Search engines and news feed services can enable
superior business and financial search results for users without their
laborious and tedious effort of refining or maintaining search queries.
·
Discovery enables a real-time process for
prioritized situational news and social media awareness.
·
Once personalized discovery is activated, decision
makers do not need to dedicate daily effort to searching or scanning for
relevant news, trends and social media information, or waiting for others to
pass information along.
[1] Google,
Knowledge Graph, http://www.google.com/insidesearch/features/search/knowledge.html,
October 9, 2013
[2]
Wikipedia, Social Graph, http://en.wikipedia.org/wiki/Social_graph,
October, 9, 2013[4] Similar contextual build-out efforts are also under way for political campaigns.
