Download - MIS5101 Key Slides from Weeks 1-3
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P R O F . S T E V E N L . J O H N S O N T w i t t e r : @ S t e v e n L J o h n s o n
http://stevenljohnson.org
http://community.mis.temple.edu/mis5101fall10/
MIS5101: Business Intelligence Key Slides Weeks 1-3
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Week 1: Introduction
Introduction to... Content Format Each Other
Expectations
Photo by conorwithonen
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Information Technology Management
MIS5001 Management Information
Systems
Introduction to Information Technology
Understand role of IT in improving
firm performance
Learn common justifications for IT
initiatives
N/A
N/A
MIS5102 Business Process
Improvement
Fundamentals of Business Process
Analysis
N/A
Communicate IT value to business
audience
Learn business analysis and
consulting skills
Analyze requirements for
IT-enabled business change
MIS5108 Information
Systems Strategy
Strategic Value of Information Technology
Identify and evaluate strategic
value of IT
Develop business case for IT-related
initiative
Identify business opportunities.
Develop a plan for organization
change
MIS5101 Business
Intelligence
Data, Information and Knowledge
management
Apply business intelligence
solutions to solve business problems
Create value realization plan for
bus. intelligence
Integrate data across multiple
sources
Develop information
security policies and plans
Understand issues in successful IT strategy implementation
Evaluate IT investments and IT-enabled business opportunities.
Form a business case for a technology initiative.
Analyze a current business process and improve it (BPM).
Plan transition to new systems and processes.
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In-Class Exercise #2
“According to Russell Ackoff, a systems theorist and professor of organizational change, the content of the human mind can be classified into five categories:
• Data: symbols • Information: data that are processed to be useful; provides answers to
"who", "what", "where", and "when" questions • Knowledge: application of data and information; answers "how" questions • Understanding: appreciation of "why” • Wisdom: evaluated understanding.
Ackoff indicates that the first four categories relate to the past; they deal with what has been or what is known. Only the fifth category, wisdom, deals with the future because it incorporates vision and design.”
From: http://www.systems-thinking.org/dikw/dikw.htm Photo credit: TheAllNewAdventuresOfMe
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Coming Attractions
Check website: discussion question in next 24-48 hours Post a response
Read and reply to other’s comments, too
Read assigned readings Consider discussion questions in syllabus
Bring “Weekly Summary” to class with One copy to turn in and one copy to keep
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Week 2 Agenda: Data Access
Case Discussion
Reading
Recap: Blog Discussion Question
Upcoming Assignments Case Study Analysis
Group Project
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Case: Balancing Access with Accuracy... in Tanzania
Photo by
Accuracy is measured by: sensitivity and specificity
3 barriers to access are: cost, facilities, personnel
3 product concepts are: strip, squeeze, paper filter
Highest access / lowest cost: strip test
Highest accuracy & cost: paper filter
3 major $$$ stakeholders: IANGOs, other donors, govt.
Other major stakeholders: CBOs, hospitals, patients
Govt. Favors most accurate: to maintain test credibility
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Case Discussion Questions
What test(s) do you recommend for initial roll-out in Tanzania? Why?
Assume one of the three tests is the sole choice for roll-out (choose one). What specific communication strategy do you use among key stakeholders to gain support for this test?
What is another example you can think of with a trade-offs between information access and accuracy? When is it better to favor access? When is it better to favor accuracy?
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Case Study Analysis
How Pick a case from weeks #4,5,7 Pick ONE discussion question Write a one-page answer See syllabus for format, advice and evaluation criteria
When First in weeks #4,5,7; Second in weeks #8-13 Email to Prof. by Monday at 5pm Post to blog between Monday at 5pm and Tuesday at 5pm
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Individual and Group Project
How Group of 3 or 4 members each Analyze a technology, application, or project that supports the
creation, identification, acquisition or use of knowledge.
When Week #3 (9/15) – Deadline to Form Groups Week #4 (9/22) – Deadline to Propose Individual and Group
Project Topics Week #9 (10/27) – Individual Project Due Week #14 (12/8) – Group Project Due, Group Presentations
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In-Class Exercise
Divide into 4-person teams
7 minutes: brainstorm to identify 10 examples of technologies, applications, or technology vendors that support the creation, identification, acquisition or use of knowledge. Report 3 examples back to the class
7 minutes: pick 3 high-level examples and identify 4-5 individual related components
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Week 3 Agenda: Data Quality
Announcement: Classroom Capture
Discussion of Reading
Recap: Blog Discussion Question
Data Integration Exercise
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Factual Review
7 types of IS are... TPS, MIS, DSS, EIS, OLAP, Data mining, BI
Two measures of information sources: hardness and richness
Information satisficing (raises or lowers) decision making quality lowers
Organization memory is... fragmented
Two types of knowledge: explicit, tacit
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Definitions from Watson (2005)
Data are raw, not summarized, not analyzed. Information is data processed into a meaningful
form. Knowledge is the capacity to use information.
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Discussion Questions
Looking back on last week’s case study, how could you describe the roll-out scenarios in terms of data, information, and knowledge?
Consider an organization you work for now (or have worked for recently). How would you describe its organizational memory?
How do senior management needs for data typically differ from the needs of the person who entered the data?
What are typical challenges in integrating information?
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Blog Discussion Question
As there’s more data available in organizations, there’s also more bad data. What kind of problems have you run into before with missing, incorrect, or incomplete data? What do you think can be done to improve data quality?
Cost of bad data Role of legal and regulatory environment Who owns the problem? Incentive alignment... problem vs. solution... pain vs. gain
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P R O F . S T E V E N L . J O H N S O N E M A I L : S T E V E N @ T E M P L E . E D U
T w i t t e r : @ S t e v e n L J o h n s o n http://stevenljohnson.org
http://community.mis.temple.edu/mis5101fall10/
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