Scenario: You Are A Business Analyst For A Company That Prod

Scenarioyou Are A Business Analyst For A Company That Produces Energy

Scenario you are a Business Analyst for a company that produces energy drinks. Your manager wants you to determine if your company's customers would prefer the energy drinks in can containers versus bottles. Given this scenario, you are required to decide how to package the energy drinks through your research. Your answers should be in the context of this company/energy drink - thus, this should be reflected in your answers. You are to compile your research and present it to your manager in a memo.

Instructions This assignment does not require the use of Excel and is more of a critical thinking exercise. After reviewing the course readings, answer the following questions in a memo for your manager: Indicate at least two data collection methods to use and a rationale for the two methods selected? What kind of sampling technique would you use and why? NOTE: Make sure the sampling technique you choose here goes well with the data collection method chosen in Question 1 because some sampling techniques cannot be used with certain data collection methods. Of the data that you are collecting, which data are qualitative, and which are quantitative?

NOTE: Keep in mind what you answered in Question 1 because the type of data you are collecting would depend largely on the data collection methods chosen in Question1. What kind of visualization (bar chart, pie chart, frequency histogram, stem, and leaf, etc.)would you use to describe the data you are collecting, and why? NOTE: Keep in mind what you answered in Question 3 because the type of visualization you use would depend on the type of data you collected in Question 3.

Paper For Above instruction

In the competitive landscape of the energy drink market, understanding customer preferences regarding packaging is vital for optimizing product appeal and sales. As a business analyst, my task is to recommend effective data collection methods, suitable sampling techniques, and appropriate data visualizations to determine whether customers prefer canned or bottled energy drinks. This process involves a strategic combination of qualitative and quantitative data to inform packaging decisions aligned with customer desires.

To gather insights on customer preferences, I propose employing two primary data collection methods: surveys and focus groups. Surveys are an efficient way to reach a broad customer base and collect quantifiable data on packaging preferences. They can be administered online or in person and allow for the collection of structured responses, such as ratings or multiple-choice selections. This method provides quantitative data, such as the percentage of customers preferring cans over bottles, which is crucial for statistical analysis and trend identification. Surveys also enable the collection of demographic data, which can reveal if preferences differ across age groups, regions, or consumption habits.

Complementing surveys, focus groups serve as a qualitative data collection method offering deeper insights into customer attitudes, motivations, and perceptions about packaging options. Focus groups facilitate open discussions, allowing participants to express their opinions freely and provide nuanced feedback. This qualitative data helps uncover underlying reasons behind preferences, such as convenience, environmental concerns, or aesthetics. Focus groups can reveal emotional connections and brand perceptions that surveys might not capture, enriching the understanding of customer choices.

Regarding the sampling technique, stratified random sampling is appropriate because it ensures that subgroups (e.g., age, gender, geographic location) are proportionally represented within the sample. This technique aligns well with both surveys and focus groups, as it allows for targeted data collection within specific segments of the customer base. Stratified sampling enhances the accuracy of insights by capturing diverse customer preferences and reducing sampling bias, especially given that different demographics might have distinct packaging preferences.

The data collected will comprise both qualitative and quantitative types. Quantitative data will include numerical responses from survey ratings, preference percentages, and demographic information such as age or income levels. Qualitative data will derive from focus group discussions and open-ended survey responses, providing descriptive insights into customer attitudes and motivations. Integrating both data types offers a comprehensive understanding of customer packaging preferences.

To effectively visualize the collected data, I recommend using bar charts for quantitative survey responses, such as the percentage of customers preferring cans versus bottles. Bar charts clearly depict differences across categories, making comparisons straightforward. For demographic data, stacked bar charts can illustrate preferences within specific subgroups like age ranges or regions.

For the qualitative insights from focus groups and open-ended survey responses, thematic or content analysis visualizations like word clouds or frequency histograms can be employed. Word clouds highlight common themes or keywords mentioned by participants, offering visual summaries of prevalent attitudes. Frequency histograms can display the number of times specific themes or opinions are expressed, aiding in identifying dominant perceptions about packaging options.

In conclusion, combining structured surveys with in-depth focus groups, using stratified random sampling, and applying suitable visualizations allows for a comprehensive assessment of customer packaging preferences. This approach ensures that strategic packaging decisions are data-driven, customer-centric, and aligned with market trends, ultimately supporting the company's goal of optimizing product appeal and increasing market share.

References

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