ITM 102 Chapter Notes - Chapter 6: Discovery History, Tacit Knowledge, Knowledge Worker

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Published on 16 Apr 2011
School
Ryerson University
Department
Information Technology Management
Course
ITM 102
CHAPTER 6: DATABASE MANAGEMENT AND BUSINESS INTELLIGENCE
-Organizational Plumbing: the IT systems designed to support different kinds of
knowledge work- gathering and storing data, processing information, and making
decisions
-The Data-Information-Knowledge Continuum:
Data: raw unorganized facts, numbers, pictures, and so on
Information: data that have been organized and are useful to a person
Knowledge: a person combines experience and judgement with information
(create value to organizations)
Wisdom: adds insights and ethics to the experience and professional judgement
inherent in knowledge (enables leaders to perceive the underlying meaning and
nuances of a business situation and ensures that knowledge from relevant
perspectives, disciplines, and sources is considered in the final decision)
-Lifelong Knowledge Creation
Explicit knowledge: knowledge that is readily codified, such as the knowledge in
this textbook
Tacit Knowledge: knowledge gain through experience, insight, and discovery
-Knowledge Work Activities
Knowledge Work: involves the discovery, analysis, transformation, synthesis,
and communication of data, information, and knowledge
Work Flows: the steps you went through
Work Product: the outcome
-Discovery: Finding Data, Information, or Knowledge (page 208)
Discovery: Finding of data, information, and knowledge relevant to a task,
problem, issue, or opportunity (the context)
Managers Request: find our companys and our competitors weekly sales data
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Helpful IT tools ad Activities: use data from check-out/ point-of-sale (POS)
terminals, search tools (ex: Google) and web searching
-Analysis: Investigating and examining the available data, information and knowledge
Breaking down the whole into its more discrete pats to better understand how
it works
Process napping: if you are analyzing a business process
Quality assurance: if you are analyzing product quality
Performance Testing: if you are assessing fitness or standards
Data warehouses and data mining are two information technologies that can
help answer questions about underlying patterns and correlations across large
amounts of data
Managers Request: Compare the sales data for the first week of May to similar
data from our company for the previous two months
Helpful IT Tools and Activities: Import the data into a database or spreadsheet
application, and use its features and tools to organize the data
-Transformation: Organizing Discovery Results
Transformations: knowledge work that requires you to use the results of your
analysis to deepen your understanding of the data and information
Managers Request: Identify any trends in the data by week, month, and day of
the week. Indicate how our companys results compare with our competition
and with the industry as a whole
Help IT Tools and Activities: Use the data analysis tools in the spreadsheet
application to examine the data from different aspects
-Synthesis: The Sum of the Parts
Allows you to interpret trends or patterns that seem to explain the past and the
present, and may suggest courses of action likely to favourably influence the
future
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Managers Request: Given your analysis of our companys relative success or
failure, suggest ways to capitalize on our strengths an overcome our
weaknesses
Helpful IT tools and activities: with analysis in mind, obtain feedback about
specific company products and services
-Communications: Sharing Analysis with Others
The ability to hare your analyses, ideas, and solutions with others (email,
PowerPoint, or instant messaging)
Managers Request: Present your findings and suggestions to management
Helpful IT Tools and Activities: import your spreadsheet data into presentation
software
-Databases: The Primary Data Storage for Organizations (page 214)
Database: the primary technology used to store, manage and allow efficient
access to data
Consist of interrelated data that are stored in files and organized so that
computer programs can quickly and easily access specific pieces of data
Database Management System (DBMS): a collection of software that allows
users to create and work with a database (used to obtain and print a customers’
monthly bank statement)
Database System: a data and a DBMS
Database Administrators (DBA): people who create and manage the database
use the tools in the DBMS to do their work
-The Data Hierarchy (pate 215)
To organize data in a database
Organizes stored data in increasing levels of complexity
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Document Summary

Organizational plumbing: the it systems designed to support different kinds of knowledge work- gathering and storing data, processing information, and making decisions. The data-information-knowledge continuum: data: raw unorganized facts, numbers, pictures, and so on. Lifelong knowledge creation: explicit knowledge: knowledge that is readily codified, such as the knowledge in this textbook, tacit knowledge: knowledge gain through experience, insight, and discovery. Knowledge work activities: knowledge work: involves the discovery, analysis, transformation, synthesis, and communication of data, information, and knowledge, work flows: the steps you went through, work product: the outcome. Indicate how our company"s results compare with our competition and with the industry as a whole: help it tools and activities: use the data analysis tools in the spreadsheet application to examine the data from different aspects. Communications: sharing analysis with others: the ability to hare your analyses, ideas, and solutions with others (email,

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