The Insider's Guide to Next-Generation BPM
By Brooke Aker, CEO, Expert System USA , 12/02/2009
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Business intelligence (BI) has always been an important component to the success of a company. As today's business goals become more challenging in the wake of a dismal economy, BI is even more essential to their success. But the very definition of BI is evolving.
While BI is often thought of as business-critical data collected internally at an enterprise, the plethora of crucial information coming from outside a company is expanding the definition of how these processes are created.
External data including consumer comments, independent reviews and online market reports have an equally important role in the strategy designed and adjusted to continue to meet a company's business goals. Applications, blogs, social networks and forums where content creation, sharing and understanding takes place should all be part of BI.
However, any true intelligence solution now needs to go beyond just locating the crucial information internally and externally -- further analyzing this data. In order to truly locate and analyze all of this unstructured data, a different kind of BI solution is required, one called semantic intelligence.
Technically speaking, what is semantic intelligence?
Semantic intelligence uncovers the meaning that words express, in their proper context, no matter the number (singular or plural), gender (masculine or feminine), verb tense (past, present, or future) or mode (indicative or imperative).
It incorporates morphological, logical, grammatical and natural language analysis that translates into higher precision and recall when searching for information -- so that all of the most important and accurate data is delivered to the user.
Semantic intelligence helps organizations strategize, analyze and make predictions more accurately because it delivers the most appropriate data -- and in these economic times, having the right foresight can essentially save a business.
Semantic intelligence provides early identification and analysis of consumer sentiment, purchasing trends, market deals and competitive information, and uncovers this data not only from within an organization's network, but also from the most unstructured corners of the web.
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