Part B: The Data Analytics Process (8 marks): Briefly explain the four main stages involved in the data analytics process. Use the bakery scenario as an example to illustrate each stage. (e.g., Stage 1: Define the Question - What are customer preferences for the new cupcake line?)

The four main stages involved in the data analytics process are:

1. Define the Question: This is the first and most crucial stage in the data analytics process. It involves identifying the problem or question that needs to be answered. For instance, in the bakery scenario, the question could be "What are customer preferences for the new cupcake line?" This question will guide the entire data analytics process.

2. Collect and Clean the Data: Once the question is defined, the next step is to collect relevant data that can help answer the question. In the bakery scenario, this could involve collecting data on customer purchases, feedback, and preferences related to the new cupcake line. After the data is collected, it needs to be cleaned. This involves removing any errors, inconsistencies, or irrelevant data to ensure that the data analysis is accurate and reliable.

3. Analyze the Data: After the data is collected and cleaned, it is then analyzed to find patterns, trends, and insights that can help answer the defined question. In the bakery scenario, this could involve analyzing the collected data to determine which flavors, sizes, or types of cupcakes are most popular among customers.

4. Interpret and Communicate the Results: The final stage in the data analytics process involves interpreting the results of the data analysis and communicating these results in a clear and understandable way. In the bakery scenario, this could involve presenting the findings to the bakery's management team and making recommendations based on these findings, such as suggesting that certain cupcake flavors be promoted more heavily or that certain sizes or types of cupcakes be discontinued.