Analyze quantitative and qualitative data to solve problems and make decisions that impact organizations and their stakeholders
Scenario
You have been asked to present your data findings and decision-making modeling to the leadership team for feedback before the stakeholder meeting presentation. The leadership team wants to preview the charts and graphs that will be included in your presentation based on the research you have conducted. The team would like to see how you will use the data to support your recommendation and how you will tell the story using data.
Directions
Part 1: Using the research gathered in Project One, use a visualization for each of the following items, and then summarize what the data is showing about them.
The current state of the U.S. automotive manufacturing industry
Sales by fuel type
Current automotive industry trends
The trend toward different types of motors for the vehicles being made and sold
Trends in customer demands such as vehicle color, extra features, and styles
Trends in the body types of vehicles sold (SUVs, trucks, sedans)
Trends in the chosen industry
Expected growth areas
Sales by type of products or services offered
Trends in customer demands
Summary of all the data visualized
Summarize the collective data about both industries.
Determine what the data is not telling you about the chosen industry.
Part 2: Analyze three decision-making models and select the one model that is best suited for making your decision.
Analyze and provide an overview of the following three models and select one for use
The Rational Model
The Intuitive Model
The Recognition-Primed Model
Explain your recommended decision-making model
Why does your selection make the most sense for this project?
Summary of All the Data Visualized
Summarize the Collective Data About Both Industries
The collective data paints a picture of an industry undergoing a massive, rapid transformation. The data confirms two dominant, intertwined themes:
Electrification is Irreversible: The trends in fuel type and motor type show a clear, exponential shift away from the traditional ICE/Gasoline model toward electric propulsion. This is the most significant driver of change in the manufacturing sector.
The Vehicle is a Software Platform: Customer demand data (features, connectivity) and sales by services show that the value of a modern vehicle is increasingly tied to its technology, connectivity, and recurring software revenue potential, rather than just its mechanical components.
Determine What the Data is Not Telling You
While the quantitative data provides clear trends, it fails to capture the essential qualitative factors needed for a strategic decision:
Organizational Readiness: The data does not show the company’s internal capacity to execute the recommended change (e.g., skill gap in battery engineering, organizational resistance to new sales models).
Competitive Reaction: The data shows current market trends but not how key competitors (e.g., Tesla, legacy OEMs) will react to the company's decision, which could quickly shift the competitive landscape.
Sample Answer
This response outlines the structure and content for a presentation to a leadership team, focusing on data visualization and the selection of a decision-making model for the U.S. automotive manufacturing industry.
Part 1: Data Visualization and Analysis
Since I do not have access to the specific "research gathered in Project One," I will outline the type of chart that would be most effective for each data point and provide a summary analysis based on general, well-known industry trends.