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Data Science

Department of Management Information Systems, Temple University

Data Science

MIS 0855.003 ■ Fall 2022 ■ Guohou Shan
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Week10 Prep and Week9 Summary

October 20, 2022 Leave a Comment

Here are some important things for preparing for the 10th week:
 
Exam
  • Please come to the class held on 10/27 to take an in-person exam.
  • Please read the study guide and prepare your questions if you have any for the review summary session held on 10/25.
  • The exam format is the same as exam 1. 
Please feel free to let me know if you need any accommodations or have questions.
Also, I will move the next virtual office hour from Monday (10/24) to Wednesday (10/26), aiming to help you prepare for your second exam.
 

Week 9 key takeaways

  • Indicators: are variables that measure (indicate) a business-relevant value.
  • KPIs: the critical (key) indicators of progress toward an intended result. KPIs help focus attention on what matters most. It can measure whether equipment, process, team, individual or organization is performing at an adequate level.
  • KPI Criteria: SMART
    • Specific purpose for the business
    • Measurable
    • Achievable by the organization
    • Relevant to success
    •  Time-phased
  • KPIs can go wrong
    • The “tyranny of success”: The difference between success and failure in non-profits is not clearly defined
    • What can you do to avoid it?
      • Use multiple KPIs as a measure, not just one
      • Be sure to use all of the SMART criteria
  • Scorecards
    • A scorecard measures performance against several goals (KPIs).
    • Often used to compare different products in terms of relevant dimensions.
    • A neutral comparison needs to define a specific use case and choose the dimensions and their weightings accordingly.
    • One item is superior to others, then choose the dimensions that put the preferred item on top.
  • Dashboards
    • Multiple perspectives to the data rather than just one scorecard
    • A well-designed dashboard can provide a powerful overview of a phenomenon
    • Dashboards are often interactive
      • customize visualizations
      • drill-deeper into the data.
    • Dashboards are not easy to design
    • Recommendations for better data discovery using dashboards
      • Link KPIs to detailed views
      • Create dynamic reports
      • Give users an ‘information scent’

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LECTURE RECORDINGS

Recordings are as follows.

14th week 11/29/2022
12/1/2022
13th week 11/15/2022 11/17/2022
12th week 11/08/2022 11/10/2022
11th week 11/01/2022 11/03/2022
10th week 10/25/2022
10/27/2022
9th week 10/18/2022 10/20/2022
8th week 10/11/2022 10/13/2022
7th week 10/04/2022 10/06/2022
6th week 09/27/2022
09/29/2022
5th week 09/20/2022 09/22/2022
4th week 09/13/2022 09/15/2022
3rd week 09/06/2022 09/08/2022
2nd week 08/30/2022 09/01/2022
1st week 08/23/2022 08/25/2022

RECENT ANNOUNCEMENTS

  • Week 13 Summary
  • Week13 Prep and Week12 Summary
  • Week12 Prep and Week11 Summary
  • Week10 Prep and Week9 Summary
  • Week9 Prep and Week8 Summary
  • Week8 Prep and Week7 Summary
  • Week6 Exam and Week5 Summary
  • Week5 Quiz and Week4 Summary
  • Week4 Quiz and Week3 Summary
  • Week3 Quiz and Week2 Summary
  • Week2 Quiz and Week1 Summary

  • Video for part6 in-class-activity0915
  • Video recap for in-class-activity0913
  • Data visualization
  • Assessing the Trustworthiness of Data
  • Welcome to MIS0855 Data Science!
  • Teaching Team

    Guohou (Jack) Shan (Instructor)
    guohou.shan@temple.edu

    I am available to meet students on Tuesday (3:30 pm – 4:30 pm) at Speakman 208E. I will also hold virtual office hours from 1-3 pm on Monday and Friday (4 pm – 5 pm) over zoom (https://temple.zoom.us/j/2292311746).  If the time is not convenient for you, please send me an email.

    Anna M Boykis (Information Technology Assistant)
    anna.boykis@temple.edu

    Email Anna to arrange a meeting.

    GREAT DATA SITES

  • FiveThirtyEight
  • Guardian Data Blog
  • Flowing Data
  • Financial Times Data Blog
  • Pew Research Data
  • US Government Open Data
  • OpenDataPhilly
  • Copyright © 2025 · Department of Management Information Systems · Fox School of Business · Temple University