[email protected] CSM6120 Introduction to Intelligent Systems Knowledge representation.
Intelligent Knowledge
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Transcript of Intelligent Knowledge
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K E L LY K I N GS R . B U S I N E SS I N T E L L I G E N C E R E P O RT I N G A N A LY S T
G LO B A L H E A LT H , I N C .
“Intelligent Knowledge” Integrating Business Intelligence and
Knowledge Management
Intelligent
KMBI
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Knowledge Management (KM)
The process of finding, capturing, selecting, organizing, refining, sharing and presenting organizational knowledge to improve company performance
Creating an environment that promotes sharing information across the organization
(Herschel & Jones, 2005)
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Business Intelligence (BI)
Technologies used to gather, store and analyze data and convert it into information that can be used by business users to make more informed business decisions
BI components OLAP, Data Mining, Data Warehousing,
Reporting, Business Performance Management, Dashboards/Scorecards, Cubes, etc.
(Herschel & Jones, 2005)
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Why BI and KM?
“…The ability to convert data into actionable information for decision making is critical to
demonstrating improved value.”
(Moore, Eyestone & Coddington, 2012)
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Why BI and KM?
Obtain a 3600 view of the organization in order to make informed business
decisions to improve company performance and gain a competitive advantage
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Business Challenge
‘‘ Up to 80 percent of business information is not quantitative, or structured in a way that can be captured in a relational database. ’’ Cook and Cook (2000)
Tacit knowledge makes up a the majority of a firms intellectual assets (Alamsya and Peranginangin)
Traditional BI solutions do not providea 360o view of the business
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360o View
DataDataData
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Business Success
“Success in business is not only defined by who possesses the most business intelligence, but
by also who can best manage it. In this environment, business intelligence knowledge management is an essential skill for remaining
competitive.”
(Dow Jones,2015)
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BI vs. KM
BI is a decision making tool that focuses on explicit knowledge, data and objective information
KM captures, shares, and retains valuable explicit and tacit human, subjective and unstructured knowledge
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BI vs. KM
KM harnesses and shares tacit knowledge needed for process-driven solutions from BI explicit information.
BI tools used for text mining bridges the gap between tacit and explicit knowledge
KM and BI are essential for making informed business decisions and should be integrated and evaluated as one
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KM and BI Unite
Amazon: Leader in e-commerce Facebook: Leader in Social Media
Seemingly magical personalization
Crowdsourcing: customer ratingsand reviews
Convert unstructured data into usable information to improve performance and gain competitiveadvantage
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Intelligent Knowledge
Business Intelligence without Knowledge Management is just data.
Knowledge Management without Business Intelligence is just a
repository.
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Intelligent Knowledge
Combining, BI and KM provides businesses with a 360o view of the organization increasing
efficiency and productivity within the organization
KM
BI (Shehzad and Khan, 2010)
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Questions