Preparing for Pitch Day
Throughout the semester, you will be building your knowledge for Pitch Day.
Lesson 4, 6 and 8 will be sessions where you will be presenting for your pitch.
How can you prepare?
On the next Pitch Day 1 you will team up with your classmates and build a business analysis while using data at hand.
Your objective on Pitch Day 1 will be to create
- Title Slide (1 slide)
- Present a problem statement based on your understanding of how Costco uses data (1 slide)
- Present Analysis of your data discovery (up to 4 slides) - you are recommended to use business models and present data in a clear way.
You will be asked questions in a Q&A period.
Course at a Glance
Overview | Detailed Activity | |||
July 10 | 1 | Introduction | Welcome to the course! Time to Explore with Data. | |
Welcome, Software Installation, Course Outline, Rules within the classroom | ||||
The course at a Glance | ||||
Level Assessment of each student in terms of their technical and business knowledge
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Needs Assessment | |||
Story # 1 - The Costco Case | ||||
Data Collection | Data Report # 1 | |||
Data Discovery and Exploration | ||||
Getting to know you: Discussion of students' personal interests and ideas | Journal # 1 | |||
July 17 | 2 | Business Strategies | Business Strategies that connect with Big Data | |
Story # 1 - The Costco Case | ||||
Understanding Descriptive Statistics | ||||
Business Strategy - Vision, Mission. | ||||
Defining Strategic Outcomes and Tactics. Corporate-Business-Operational | ||||
Analysis of the Company - Porters 5 Forces | ||||
Competitive Analysis (Perception Mapping) | Discussion Activity # 1 | |||
Reflection on Business Strategy and Data | Journal # 2 | |||
July 24 | 3 | Workshop Day - Data Focus |
Introduction to Alteryx, Excel, Flows, Data Discovery, Data Cleaning and Inferencing
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Story # 2 - Omni-Channel Starbucks and Coca-Cola | ||||
Data Cleaning | ||||
Data Inferencing and Mining | ||||
Query | ||||
Building Data Structures and Data Flows | ||||
Building Data Visualization to link to Case Analysis - Graphs, Charts, Tables | Data Report # 2 | |||
Reflection on your experience with data handling | Journal # 3 | |||
July 31 | 4 | Pitch Day - Round 1 | Linking Business Strategy & Data through a pitch | |
Case Workshop - How to Analyze a company | ||||
Case Workshop - Judge others' presentations | ||||
Case Workshop - How to build a presentation deck | Pitch Round 1 | |||
Value Chain Analysis (Process Optimization) | ||||
SWOT Analysis (Marketing Perspective) | Discussion Activity # 2 | |||
Reflection on your first take in the presentation Strategy with Data | Journal # 4 | |||
Aug 7 | 5 | Workshop Day - Data Focus | Decision-Making through Data | |
Story # 3 - Google Flights | ||||
Predictive Techniques (Forecasting) | ||||
Decision-Making Techniques (Decision Trees) | ||||
Data Workshop - Building Predictive Models | ||||
Data Workshop - Building Decision-Making Models | Data Report # 3 | |||
Reflection on your experience using data to make decisions | Journal # 5 | |||
Aug 14 | 6 | Pitch Day - Round 2 | Strategic Alternatives | |
Case Workshop - How to determine Strategic Alternatives | ||||
Case Workshop - Judge class work | Pitch Round 2 | |||
Presentation | ||||
Sensitivity Analysis (What If Analysis) | ||||
Balance Score Card (KPIs and ROIs) | Discussion Activity # 3 | |||
Reflection on making decisions in business using big data | Journal # 6 | |||
Aug 21 | 7 | Data Focus | Using Data within your Action Plan | |
Story # 4 : Macdonalds | ||||
AI & Machine Learning (Deep Learning, Neural Networks) | ||||
Data Workshop - Machine Learning | ||||
Data Workshop - Understanding the Ethical and Legal usage of Data | Data Report # 4 | |||
Reflection on the power of computers and how you see the world of big data now | Journal # 7 | |||
Aug 28 | 8 | Pitch Day - Round 3 | Making a convincing Recommendation work for you (Includes Implementation) | |
Case Workshop - Judge others presentations | Pitch Round 3 | |||
Case Workshop - Backing your Recommendation, Creating an Action Plan (Timelines, Processes, Projections) | Discussion Activity # 4 | |||
Reflection on how you could do better | Journal # 8 |
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