People Picking Using Data

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Presentation transcript:

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

Summary Measurement Framework Specific Measurements Results & Findings Conclusion TEAM 9

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

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

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

Leadership Qualities 1. Flexibility 2. Trust Leaders Team Members 3 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

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

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

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

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

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

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

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