MIS5101 Week 13 Security Privacy Data Mining
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MIS5101 Week 13 Security Privacy Data Mining

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Slides from week 13 of MIS5101: Business Intelligence taught by Prof. Steven L. Johnson at Temple University Fox School of Business.

Slides from week 13 of MIS5101: Business Intelligence taught by Prof. Steven L. Johnson at Temple University Fox School of Business.

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  • 1. MIS5101: Business IntelligenceWeek 13 – Security, Privacy and Data Mining PROF. STEVEN L. JOHNSON Twitter: @StevenLJohnson http://stevenljohnson.org http://community.mis.temple.edu/mis5101fall10/
  • 2. Today’s Agenda  Case Discussion  Group Project Discussion  Final Exam Review  Reading + Blog Discussion  Student Evaluation Forms  Group Project Work
  • 3. Case Analysis Discussion Questions  What business is deCODE in?  Why Iceland?  Why was the database project opposed?  What could deCODE have done differently?  What does IFA/ShopSense propose to do?  What can they learn from deCODE?  What are expert advice do you agree with? Which do you disagree with?
  • 4. 100 Second Reflection1.  What was your favorite case study this semester? Why? •  Balancing Access with Accuracy for Infant HIV Diagnostics in Tanzania •  SKOLAR, M.D.: Is There a Business for Web-Based Information for Doctors? •  Intermountain Health Care •  Global Knowledge Management at Danone •  Data.gov •  In-Vitro Fertilization (IVF): Outcomes Measurement •  deCODE Genetics: Hunting for Genes to Develop Drugs •  Dark Side of Customer Analytics2.  Any other comments?
  • 5. Group Project Presentations  Convince an audience making project funding decision:   (A) What business problem are you solving?   (B) How do you propose solving it?   (C) How will the solution provide business value?  Format   9-12 minutes + 2-4 minutes for questions  Evaluation forms   Content: Clear description of business problem   Content: Effective justification of business value   Content: Convincing discussion of project feasibility   Presentation: Delivery and pacing   Presentation: Connection with audience   Overall Impression: Assessment of project
  • 6. Exam Review: Format  Take-home: 5PM posted to class website, 8PM due via email  Open-note: no outside assistance or Internet assistance  4 short answer questions (~ 60% of grade (4 x 15% each)   Multiple bullet point answer or up to 1 paragraph answer   Ex.: “What are 3 pros and 3 cons of giving ad-hoc SQL query access?  1 essay question (~ 40% of grade)   Multi-part question or more involved question with a multi- paragraph answer required   Pick from 2 or 3 choices   Ex.: “Temple University is looking for new revenue streams. They want your advice: should they offer to sell marketers the list of student email addresses? Why or why not?”
  • 7. Reading  Why Im releasing my genetic data online   Agree or disagree?
  • 8. Blog Discussion  Personal backups and disaster recovery   Cloud computing   Device proliferation   Role of operating systems
  • 9. For More Information PROF. STEVEN L. JOHNSON EMAIL: STEVEN@TEMPLE.EDU Twitter: @StevenLJohnson http://stevenljohnson.org http://community.mis.temple.edu/mis5001fall10johnson/