Interpreting Graphical Representations Of Data

Interpreting Graphical Representations Of D

Locate any report or periodical article that contains at least two different graphical representations of data or use one of the supplied articles. Interpret the graphs and present your findings in a brief PowerPoint presentation (6 slides). You may choose to explain the points in your 5-8 minute presentation with a recorded voice-over or include detailed presenter’s notes in the PowerPoint slides. Business administrators and managers are often called upon to interpret data that analysts have provided to them. This requires an understanding of the data sources (when, where, and how data is collected; formatted or stored; and used), as well as what that data looks like and how it can be summarized.

In this first assessment, you are asked to locate any report or periodical article used in a business context of interest to you that contains at least two different graphical representations of data. You will interpret the graphical data representations and present your findings in a brief PowerPoint deck, as if you were presenting during a company meeting. In this assessment you will learn about the collection, formatting, and use of raw data, as well as graphical and tabular methods for summarizing it. You will also get started with the technology that you will use in this course: Microsoft Excel (including the Data Analysis ToolPak add-in).

Scenario

You are an analyst in a business. You may choose a real or fictional business of interest. Any business that has practical meaning for you is an appropriate choice for this assessment. You have been given you a report containing some graphs and charts and must interpret and explain two of them at a department meeting. Your Role You have been invited to be one of many presenters at a departmental meeting that employees of all levels will attend. You have been allotted 5–8 minutes, and the purpose of your speech is to explain the two charts or tables that your analyst has given you.

Instructions

Select two graphical representations of data, such as pie charts, bar charts, scatter plots and trend lines, or tables. You may use published articles, annual report graphics from publicly traded companies, or any published business report. A list of appropriate articles has been compiled for this assessment. You may select one of the articles from the list in Resources or find your own article that meets the criteria. If you cannot find any published data graphics, you may create them.

Identify the business context, such as an online store, a brick-and-mortar business, year-end review, product kickoff, recently merged or new IPO company, or a family-owned business. This company background information should help explain why the data is relevant. Interpret your chosen data representation in the context of the business situation. The following are typical questions an analyst would use to interpret the data: What is being measured (the variables)? What are the relationships among the variables? What are the trends in the data? How can the data be applied in the business context? Create an effective 6-slide PowerPoint presentation that could be presented at a departmental meeting. An effective PowerPoint presentation for this purpose typically includes: 1 title slide, APA formatted. 1 introduction slide explaining the business context. 1 slide for each of the two graphics in your report. You may insert or paste the charts and include an appropriate citation (2 total slides for this portion of the presentation). Explain the meaning of each graphical data representation. 1 conclusion slide in which you explain how the data may affect the business context or how each graph may be applied in your business context to inform decision making. 1 slide with APA-formatted references, including the source of each graph.

Prepare a short speech that presents your analysis so that it is relevant to people of all levels of the company. Example Assessment: You may use the following to give you an idea of what a Proficient or higher rating on the scoring guide would look like: Assessment 1 Example 1 [PPTX].

Additional Requirements

For each bullet point, use concise but complete sentences that are clear, easily understood, and jargon-free. Remember: you will be speaking to people of all levels within the company. Do not include too many bullet points on each slide (a maximum of 3 bullets per slide is a good guideline to follow).

Include an APA-formatted references slide at the end of the presentation as well as APA-formatted in-text citations where appropriate. You may use a recorded voice-over of no longer than 5 minutes using Kaltura or detailed speaker's notes to add necessary details to your presentation. Refer to the Campus tutorial Using Kaltura (linked in MBA Program Resources) as needed. Your written communication should be free of errors that detract from the overall message.

Paper For Above instruction

The ability to interpret and communicate graphical data representations is a fundamental skill for business analysts and managers, serving as a bridge between raw data and strategic decision-making. In this paper, I will demonstrate how to interpret two types of graphical data from a business report within a chosen business context, illustrating how such data can influence operational and strategic decisions. The business context selected for this analysis is an online retail business that has experienced recent growth, leading to increased sales volume and customer engagement metrics displayed through various charts. Understanding these graphical representations aids in assessing market performance and operational efficiencies, which are essential for sustainable growth.

Firstly, I selected a pie chart illustrating the market share distribution among the top five online retailers. In the context of the online retail industry, this chart reveals the competitive landscape and the company's position relative to competitors. The variables measured include market share percentages, and the chart visually emphasizes the concentration of market power among leading players. This visual indicates that the online retailer in question holds 25% of the market share, with the remaining share dispersed among four other competitors. The trend here suggests a highly competitive environment with the top five players dominating over 80% of the market, highlighting the need for strategic differentiation and customer engagement initiatives. The data's application in decision-making involves focusing on targeted marketing efforts and innovation to capture additional market share and defend against competitors.

Secondly, I analyzed a bar chart depicting monthly sales revenue over a twelve-month period. This graphical representation shows sales trends, with variables including months of the year on the x-axis and sales revenue on the y-axis. The trend line within the bar chart indicates several seasonal peaks and dips, specifically around the holiday season and promotional events. Interpreting this data suggests that the company experiences fluctuations in sales, aligning with seasonal demand patterns and marketing campaigns. Recognizing these trends allows managers to allocate resources effectively, plan inventory, and tailor marketing strategies to capitalize on peak periods. For example, increasing advertising spend ahead of holidays can maximize revenue, while off-peak months may benefit from customer loyalty promotions or new product launches.

In conclusion, graphical data representations such as pie and bar charts provide valuable insights into competitive positioning and seasonal sales patterns. For the online retailer, understanding market share distribution underscores the importance of differentiation and innovation strategies to increase market presence. Meanwhile, observing sales trends over months guides operational planning and marketing efforts, ultimately supporting informed decision-making to foster growth and competitiveness. Effective interpretation of these graphics enables managers to translate visual data into strategic actions tailored to their business context, demonstrating the critical role of data analysis skills in today’s dynamic market environment.

References

  • Armstrong, J. S. (2012). Principles of Forecasting: A Handbook for Researchers and Practitioners. Springer Science & Business Media.
  • Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press.
  • Knaflic, C. N. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley.
  • Marr, B. (2016). Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results. Wiley.
  • Tufte, E. R. (2001). The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press.
  • Yau, N. (2013). Data Points: Visualization That Means Something. Wiley.
  • Kirk, A. (2016). Data Visualization: A Handbook for Data Driven Design. Sage Publications.
  • Healy, K. (2018). Data Visualization: A Practical Introduction. Princeton University Press.
  • Cairo, A. (2016). The Truthful Art: Data, Charts, and Maps for Communication. New Riders.
  • Evergreen, S. (2017). Effective Data Visualization: The Right charts for the right data. Sage Publications.

Related Assignments