1. People Picking Using Data
Analytics in Business Group 9:
Alexander Romanenko
Artemis Tomadaki-Balomenou
James Wei
Justin Leiendecker
Reza Brianca Widodo

2. Summary Measurement Framework Specific Measurements Results & Findings
Conclusion
TEAM 9

3. Measurement Framework
Leaders
22.5%
22.5%
10%
22.5%
22.5% 1 2 3 4 5
Leadership Qualities
Preference
Subject Knowledge
10%
45%
45%
Team Members
The measurements used Z-normalisation
Total values are calculated based on the agreed weights (%)
TEAM 9

4. Measurement Framework
Leaders
22.5%
22.5%
10%
22.5%
22.5% 1 2 3 4 5
Leadership Qualities
Preference
Subject Knowledge
10%
45%
45%
Team Members
The measurements used Z-normalisation
Total values are calculated based on the agreed weights (%)
Leaders ranking is based on Leadership Qualities, Preference and Subject Knowledge
TEAM 9

5. Measurement Framework
Leaders
22.5%
22.5%
10%
22.5%
22.5% 1 2 3 4 5
Leadership Qualities
Preference
Subject Knowledge
10%
45%
45%
Team Members
The measurements used Z-normalisation
Total values are calculated based on the agreed weights (%)
Leaders ranking is based on Leadership Qualities, Preference and Subject Knowledge
Team members ranking is based on Preference and Subject Knowledge
TEAM 9

6. Leadership Qualities 1. Flexibility 2. Trust Leaders Team Members3 4 5
Team Members
1. Flexibility
Cosine Similarity between Friendship-Task choices and Task-Task choices
Similarity between Friendship-Implementation encouraged
2. Trust
Advice In-degrees
TEAM 9

7. Preference/ Personality Type
Leaders 1 2 3 4 5
Team Members
3. Preference/ Personality Type
Measure is based on additional questions asked:
Size of event: Cozy: Implementation
Mixer: Influence
Party: Creative
B) Guest Type Tight: Implementation
Exclusive: Influence
Expansive: Creative
TEAM 9

8. Characteristics Measure (Design)
Leaders 1 2 3 4 5
Team Members
4. Requires Creative People: in-degree characteristics measure
5. Different Perspective (wider the network - better the ideas) :
Weak Ties approach used
To create design team, we take into account 2 measurements:
Or our 4th measurement, we want all of our team member for design team are recognized as creative person by others. And the way we measure it is by taking their in-degree in creativity task.
Or our 5th measurement, we also want that when these people work together, they will have different perspectives because they come from different background and arguably, can perform brainstorming or design idea more effectively. And the way we measure it is by finding who are their weak ties in creativity network.
This is an example, the red node showed one of our creative team member, and the blue ones are his/her direct connection
And if we expand his network only, we can reach (click) as many as these people
The next task is lobbying and will be presented by James
TEAM 9

9. Characteristics Measure (Lobbying)
Leaders 1 2 3 4 5
Team Members
4. Requires Influential People: in-degree characteristics measure
5. Eigenvector approach used: rank nodes by their global importance
TEAM 9

10. Characteristics Measure (Implementation)
Leaders 1 2 3 4 5
Team Members
4. Implementation in-degree characteristics measure
5. Cohesion (i.e. people who work well together): Density approach used
TEAM 9

11. Results Final Teams Selections and Scores: Findings:
Higher variety in lobbying / influence across the cohort. Less variety in design/ creativity and implementation
Implementation achieve better result with 3 people: 9.3% improvement
No leaders- no bureaucracy: 14.5% improvement
If people are allowed to participate in >1 team: 23.3% improvement
TEAM 9

12. Conclusion TEAM 9 Importance Required Characteristics
Great Leaders: Essential for success of every team Flexibility, Trust and Subject Expertise Strong Team Members: 2+2 = 5 Subject Expertise, ability to work well in teams Effective Teams: On time, on budget, high quality Characteristics depend on the tasks
TEAM 9

13. TEAM 9 This presentation has been enabled by the following:
Programming tools:
Communication tools:
Locations:
TEAM 9