Grantham University Business Analytics The looming Retail Bailout Presentation Locate any report or periodical article that contains at least two different

Grantham University Business Analytics The looming Retail Bailout Presentation 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 ( I WILLDO THIS PART) or include detailed presenter’s notes in the PowerPoint slides.SEE ATTACHED FOR FULL INSTRUCTIONS Course Navigation 
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Assessment 1 Instructions: Interpreting Graphical Representations
of Data in Articles or Reports
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
1. 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.
2. 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.
3. 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?
4. 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.
5. 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.
Evaluation
By successfully completing this assessment, you will demonstrate your proficiency in the following course
competencies through corresponding scoring guide criteria:
Competency 1: Explain how data management techniques and tools are used to support business decisions.
Introduce the business context.
Explain how the data can be applied to the business context.
Competency 4: Present the results of data analysis in clear and meaningful ways to multiple stakeholders.
Interpret, or explain the meaning of, the two different graphical representations of data.
Correctly format citations and references using current APA style.
Present content clearly, professionally, and logically for the identified audience.
Note: Faculty may use the Writing Feedback Tool when grading this assessment. The Writing Feedback Tool is
designed to provide you with guidance and resources to develop your writing based on five core skills. You will find
writing feedback in the Scoring Guide for the assessment, once your work has been evaluated.
SCORING GUIDE
Use the scoring guide to understand how your assessment will be evaluated.
VIEW SCORING GUIDE
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Resources: Selection of Articles to Choose for Assessment 1
Use any of the following Capella library articles for this unit’s assessment or find appropriate articles on your own:
Anders, G. (2017). The looming retail bailout. Forbes, 199(6), 94–99.
Badenhausen, K. (2016). The world’s highest-paid athletes. Forbes, 197(9), 22.
Cam, D., & Au-Yeung, A. (2017). Doctorate, degree or dropout? Forbes, 200(5), 24.
Canal, E., Kauflin, J., & Adams, S. (2016). Shark Tank’s toothless deals. Forbes, 198(7), 24–25.
Decarlo, S., Elam, D. G., Smyth, K., Agus, S., Austin, C., Hackett, R., …Wieczner, J. (2017). 100 FastestGrowing companies. Fortune, 176(4), 157–163.
Growing, growing… gone! (2016). Forbes, 197(5), 28.
Lim, P. J. (2018). The 50 best mutual funds and 50 best ETFs. Money, 47(1), 86–91.
Meet the world’s richest. (2016). Forbes, 197(4), 26–27.
Salisbury, I. (2018). How we got here. Money, 47(1), 52–57.
Sorvino, C. (2016). Dollar days. Forbes, 197(4), 28.
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Resources: Data Analysis Software Tool and Installation
Data Analysis Software
To complete the assessments in this course, you will need to use data analysis software to complete statistical
calculations, create graphs and tabular summaries, and share your results in your Microsoft Word document
submissions. You will use Microsoft Excel and Microsoft Excel Analysis ToolPak add-in. Be aware that not all statistical
calculations, graphs, and tabular summaries can be completed in this software, so you may need to do some work
outside of the software.
MICROSOFT EXCEL DATA ANALYSIS TOOLPAK ADD-IN FOR PC AND MAC
The Analysis ToolPak add-in for Microsoft Excel is included in the standard installation of the Microsoft Office suite;
however, it does need to be activated or enabled. You can use the instructions provided by Microsoft in the link
below to load the Analysis ToolPak add-in for Microsoft Excel. If you do not own Microsoft Excel, Capella arranges
for a significant discount for Microsoft Office for Capella learners.
The following provides an overview of the Analysis ToolPak and instructions for loading and activating it. Note that
these instructions are for 2016 and older versions of Microsoft Excel for PC and for the 2016 version only for Mac. If
you are using a different version, you may need to search Microsoft’s website for the appropriate instructions.
Microsoft. (n.d.). Load the Analysis ToolPak in Excel. Retrieved from https://support.office.com/enus/article/Load-the-Analysis-ToolPak-in-Excel-6a63e598-cd6d-42e3-9317-6b40ba1a66b4?
CTT=1&CorrelationId;=9f089166-5317-42d4-8d41-56b3d207e812&ui;=en-US&rs;=en-US&ad;=US
MBA-FPX5008
u01a1 – Interpreting Graphical Representations of Data in Articles or Reports
Learner: Bryan Nickerson
OVERALL COMMENTS
RUBRICS
CRITERIA 1
Introduce the business context or company background for the data.
COMPETENCY
Explain how data management techniques and tools are used to support business decisions.
NON_PERFORMANCE: Does not introduce the business context or company background for the data.
BASIC: Partially describes the company background associated with the data, but does not provide the full picture of the business context.
PROFICIENT: Introduces the business context or company background for the data.
DISTINGUISHED: Provides rich introduction of the company background and the factors affecting the business context using examples and history.
CRITERIA 2
Explain how the data can impact the business context or be used by the company in decision making.
COMPETENCY
Explain how data management techniques and tools are used to support business decisions.
NON_PERFORMANCE: Does not explain how the data can impact the business context or be used by the company in decision making.
BASIC: Partially describes how the data can impact the business context or be used by the company in decision making.
PROFICIENT: Explains how the data can impact the business context or be used by the company in decision making.
DISTINGUISHED:
Explains comprehensively and thoroughly how the data can impact the business context or be used by the company in decision making, including
relevant examples of data-based decision making from the field.
CRITERIA 3
Interpret or explain the meaning of two different graphical representations of data.
COMPETENCY
Present the results of data analysis in clear and meaningful ways to multiple stakeholders.
NON_PERFORMANCE: Does not interpret or explain the meaning of two different graphical representations of data.
BASIC: Partially interprets or explains the meaning of two different graphical representations of data.
PROFICIENT: Interprets or explains the meaning of two different graphical representations of data.
DISTINGUISHED:
Interprets and explains the meaning of two graphical representations of data in depth, including analysis of the business in relation to the field or
specific examples.
CRITERIA 4
Format citations and references correctly using current APA style.
COMPETENCY
Present the results of data analysis in clear and meaningful ways to multiple stakeholders.
NON_PERFORMANCE: Does not format citations and references using APA style.
BASIC: Formats citations and references with errors in APA style.
PROFICIENT: Formats citations and references correctly using current APA style.
DISTINGUISHED: Formats citations and references flawlessly in current APA style.
CRITERIA 5
Present content clearly, professionally, and logically for the identified audience.
COMPETENCY
Present the results of data analysis in clear and meaningful ways to multiple stakeholders.
NON_PERFORMANCE: Does not present content clearly, professionally, or logically for the identified audience.
BASIC: Presents content with some flaws in organization or clarity that affect professional delivery for the intended audience.
PROFICIENT: Presents content clearly, professionally, and logically for the identified audience.
DISTINGUISHED: Presents content with exceptional clarity, organization, professionalism, and appropriateness for the identified audience.
Supplemental Feedback
SUPPLEMENTAL CRITERIA 1
Purpose
Compose a text that articulates meaning relevant to the main topic, scope, and purpose of the prompt
BEGINNING: This text is unrelated to the assignment prompt.
DEVELOPING: This text is related to the assignment prompt but does not demonstrate an understanding of the main topic, scope, and purpose.
SKILLED: This text responds to the assignment prompt and appropriately addresses the main topic, scope, and purpose.
ADVANCED:
This text presents a focused response to the assignment prompt and demonstrates a thorough understanding of the main topic, scope, and purpose.
SUPPLEMENTAL CRITERIA 2
Organization
Develop text using organization, structure, and transitions that demonstrate understanding of relationship between main and
subtopics
BEGINNING: This text does not include a thesis statement and is organized inappropriately for the assignment.
DEVELOPING:
The thesis statement in this text is unclear and/or the text is presented in paragraphs with unclear main idea(s) and/or transitional phrases.
SKILLED: This text includes a thesis statement and is organized into paragraphs, with clear main ideas and effective transitional phrases.
ADVANCED:
This text reflects a strong thesis statement. Additionally, this text is organized with skillful transitions into paragraphs with clear main ideas, sufficient
evidence, analysis, and linking information.
SUPPLEMENTAL CRITERIA 3
Evidence
Integrate into text appropriate use of scholarly sources and evidence
BEGINNING: This text included plagiarized information.
DEVELOPING:
This text lacks synthesis of information from sources and/or the credibility of the sources is questionable, with many flaws in APA citation style.
SKILLED:
The included evidence was integrated and synthesized from outside sources, most of which are scholarly, with minimal flaws in APA citation style.
ADVANCED:
The evidence in this text was integrated and synthesized from credible, scholarly, and professionally sound sources, with minimal flaws in APA
citation style.
SUPPLEMENTAL CRITERIA 4
Tone
Apply in text the standard writing conventions for the discipline, including structure, voice, person and tone
BEGINNING: Text uses language inappropriate for the intended audience.
DEVELOPING:
This text does not meet writing conventions for the discipline and lacks appropriate voice, person, and/or tone for the intended audience.
SKILLED:
This text meets writing conventions for the discipline and there were minimal issues in appropriate use of voice, person, or tone for the intended
audience.
ADVANCED:
This text exhibits strict adherence to writing conventions for the discipline and uses appropriate voice, person, and tone for the intended audience.
SUPPLEMENTAL CRITERIA 5
Sentence Structure
Produce text with minimal grammar, usage, spelling, and mechanical errors
BEGINNING:
Text meaning is unclear due to errors in sentence structure, grammar, usage, word choice, spelling, or mechanics in 75% or more of text.
DEVELOPING:
Text meaning is interrupted due to sentence structure, grammar, usage, word choice, spelling, or mechanical errors in 25%-75% or more of text.
SKILLED: Text conveys clear meaning with minimal issues in grammar, usage, word choice, spelling, or mechanical errors in 10%-25% of text.
ADVANCED:
Text complexity and concision conveys clear meaning, with grammar, usage, word choice, spelling, or mechanical errors in 10% or less of text.
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Resources: Foundational Analytics Resources
There are select chapters from the following text throughout this course that are useful for preparation for each
assessment.
Lind, D. A., Marchal, W. G., & Wathen, S. A. (2019). Basic statistics for business and economics (9th ed.). New
York, NY: McGraw-Hill.
Chapter 1, “What Is Statistics?”
This chapter explains why studying analytics and statistics is essential in business today.
If this is your first venture into the world of analytics, the following resources can provide a solid foundation of
knowledge:
Kenny, P. (2014). Better business decisions from data: Statistical analysis for professional success. New York,
NY: Apress.
Chapter 5, “Raw Data.”
This resource presents an overview of how data are used to make business decisions in the
professional context.
Thomas, R., & McSharry, P. (2015). Big data revolution: What farmers, doctors, and insurance agents can teach
us about patterns in big data. West Sussex, England: Wiley.
Chapters 1–9.
These chapters give practical examples of the use of analytics.
Watson, H. J. (2018). Successful analytics leaders. Business Intelligence Journal, 23(1), 5–11.
This reading covers key characteristics of how leaders use analytics in business effectively.

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