For This Assignment You Will Need To Become Familiar 033100

For This Assignment You Will Need To Become Familiar With Specialized

This assignment requires familiarization with specialized business intelligence (BI) software, downloading and using such software, analyzing demographic reports for the United States and a specific zip code (60614), and creating visual representations of data comparisons. You will prepare a memo explaining how the selected area differs from the national profile, and develop a 5-6 slide PowerPoint presentation highlighting key findings with at least two graphs, a headline, and three questions for further inquiry. The presentation must include speaker notes roughly 200–250 words per slide, and references to credible sources.

Paper For Above instruction

The process of integrating business intelligence (BI) software into market analysis comprises a series of systematic steps aimed at deriving actionable insights from demographic data. This assignment zeros in on comparing local and national demographics to inform expansion decisions for Big D Incorporated. The approach involves both qualitative review and quantitative visualization, providing a comprehensive overview of regional differences that could influence strategic planning.

Initially, becoming familiar with BI tools such as Tableau or Excel forms the foundation. The selection of appropriate software hinges on ease of use, data visualization capabilities, and capacity to handle large datasets. Tableau, known for its user-friendly interface and powerful visualization features, is a popular choice among business analysts. The assignment recommends creating at least two graphs to illustrate comparisons between the national profile and the demographic characteristics of zip code 60614. These visual tools facilitate quick understanding of complex data, revealing patterns, disparities, and trends at a glance.

Concurrently, demographic reports are downloaded for both the United States and zip code 60614. These reports include General Summary, Census Trend (1980-2000), Occupation and Employment, and Income summaries. The primary goal is to analyze how the local area differs from the national profile across these variables. For example, educational attainment levels, income brackets, and employment sectors may show significant differences indicating opportunities or challenges for market expansion.

The analysis begins with a careful review of data such as education levels, household incomes, and employment sectors. For example, zip code 60614, located in Chicago, exhibits higher percentages of college-educated residents compared to the national average, which suggests a more educated demographic. Similarly, income summaries can reveal whether the local area boasts higher median incomes, indicating a wealthier consumer base. These differences are summarized in a one-page memo, highlighting surprises or notable patterns observed during the comparison.

Visualization further enhances understanding. Using Tableau or Excel, charts such as bar graphs or side-by-side comparisons illustrate distinctions vividly. For instance, a graph depicting median household income for the U.S. versus 60614 can show disparities, aiding strategic decision-making. Creating these visuals involves organizing the data, cleaning extraneous information, and selecting appropriate graph types. The process includes importing data into BI tools, setting measures and dimensions, and choosing the side-by-side bar chart for effective comparison.

The final deliverables are a short memo, a PowerPoint presentation with 5-6 slides, and speaker notes. The slides should feature a clear headline or key takeaway derived from the data visualizations. The last slide should pose three insightful questions for further exploration, such as inquiries into market preferences, demographic shifts, or economic trends. Proper citations of credible sources—such as census reports or BI software tutorials—are crucial to underpin analysis and ensure academic integrity.

Additional guidance involves using help resources within BI software and online tutorials to troubleshoot data preparation and visualization challenges. Preparing clean and comparable datasets is pivotal. For example, data should be free of extraneous rows and columns, with consistent formatting across datasets. Saving and exporting graphs as images ensures they can be effectively incorporated into the PowerPoint presentation.

Overall, the goal of this assignment is to develop competencies in data analysis, visualization, and strategic communication. By comparing local and national demographic profiles, one can glean critical insights that inform potential market expansion strategies, identify target segments, and anticipate market challenges. Mastery of BI tools and effective presentation skills are essential skills cultivated through this exercise, which aligns with best practices in quantitative market analysis and business decision-making.

References

  • Braun, V., & Clarke, V. (2019). Successful qualitative research: A practical guide for beginners. Sage.
  • Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press.
  • Microsoft. (2018). Create a chart from start to finish. Retrieved from https://support.microsoft.com
  • Pak, A. (2013). Tableau Public - Overview and Applications [Video]. Retrieved from https://www.tableau.com
  • Tableau. (2018). Tableau Public. Retrieved from https://public.tableau.com
  • U.S. Census Bureau. (2020). Demographic and Economic Data. Retrieved from https://www.census.gov
  • American Marketing Association. (n.d.). Summary Reports. Retrieved from https://www.ama.org
  • Yin, R. K. (2018). Case Study Research and Applications: Design and Methods. Sage Publications.
  • Evergreen, S. (2017). Effective Data Visualization: The Right Chart for the Right Data. Sage.
  • Scott, J. (2020). Data Analysis Using Excel and BI Tools. Routledge.

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