Project3 Introduction

IS 607
Mar 29 2015

Index

Best Predictor of Best Picture

1. Executive Summary
2. Desired Outcomes
3. Assumptions
4. Constraint
5. Possible Benefit
6. Risk
7. Management Strategy

1. Executive Summary

This project is to answer the question: “In the Academy Awards, What is the best predictor of Best Picture?” All students of IS607 course have participated on this project from Mar 14th to Mar 29th.

Current Categories of Academy Award

24 Categories

Best Picture,   Actor in a Leading Role,   Actor in a Supporting Role,   Actress in a Leading Role,   Actress in a Supporting Role,   Animated Feature,   Cinematography,   Costume Design,   Directing,   Documentary Feature,   Documentary Short Subject,   Film Editing,   Foreign Language Film,   Makeup and Hairstyling,   Music Original Score,   Music Original Song,   Production Design,   Animated Short Film,   Live Action Short Film,   Sound Editing,   Sound Mixing,   Visual Effects,   Writing Adapted Screenplay,   Writing Original Screenplay

source: http://oscar.go.com/nominees

2. Desired Outcomes

There is Reasonable correlation between Best Picture and Best Film Editing.

Or,

There is reasonable correlation between Best Picture and other category awards.

3. Assumptions

“Any combinations of categories

cannot

be a predictor of the Best Picture award.”

4. Constraint

This is not to show causality between Best Picture and Best Film Editing (or some other one).

Even if there would be correlation between the two, we cannot tell that nice film editing makes the movie worthy to be awarded Best Picture.

5. Possible Benefit

Even with the constraint above, there would be a possibility of causality between the two awards(Best Picture and some other one).

After we find any correlation, and then if we can prove the causality between the two, we can recommend movie producers to invest more on one category, for example, sound editing, in order to get Best Picture award.

6. Risk

Since many members are working through online, there might exist problems of

  • time management
  • data management
  • communication.

7. Management Strategy

To reduce the risk above, we used diverse tools

  • Distributing works, Managing schedule: Trello

  • Verifying data quality, Removing duplicates: Github, PostgreSQL

  • Communication: Trello and regular meeting online