Imagine that you have been hired as a quality control data analyst. The company you have been hired for has experienced a decline in their sales numbers. The CEO speculates that there may be some areas for improvement in their quality control practices. You have a strong background in data analytics, but you know little about quality control practices. As a data analyst, you need to determine some key data points that will assist you in identifying any problem areas in the quality control process.

• Identify data that you believe would be useful in assessing for quality control.
• Discuss your strategy for identifying key data points, including the type of data you gather and where you will look to find this data.
• Determine the best way to present this data, considering data visualization tools we examined in Week 2.
• Summarize how you would go about creating a quality control proposal for this company. What are some of the key points you would consider for quality control?