Intelligent Knowledge

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

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)

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)

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)

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

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

360o View

DataDataData

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)

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

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

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

Intelligent Knowledge

Business Intelligence without Knowledge Management is just data.

Knowledge Management without Business Intelligence is just a

repository.

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)

Questions