Original work only. Additional info is attached.
Prior to beginning work on this assignment:
· Review all chapters of the course textbook, Business Analytics: Communicating with Numbers, 2e. Jaggia, S. (2023).
Business analytics: Communicating with numbers
(2nd ed.). McGraw-Hill Higher Education.
· Review the Three Types of Analytics Techniques infographic below
Long description
This final paper is the major summative assignment of this course. It is designed to allow students to reflect on and apply the knowledge of data-based decision-making learned during the course to real-world scenarios.
Assessment Guidelines
For your workbook:
· Respond to the following five (5) questions related to one of the learning objectives covered in this course.
· For question 2, confirm your answers with examples of data sets and/or visualizations.
· While you may choose these from the sample data sets provided in the resources listed for this course, It is strongly recommended that you search for new data sources to use as examples.
Questions:
· Differentiate between various types (Descriptive, Predictive, or Prescriptive) of data an organization may use to assess organizational performance.
· Provide an example for each data source.
· Highlight the purpose of the data sources, the metric(s) it explains, and what kind of decision it would help justify.
· Create a data visualization graphic that incorporates appropriate data sets for one of the three types.
· Consider one of the data sets you have shared in question number 1 of this workbook.
· Evaluate the benefits of at least two different data analysis methods.
· Share an example of each.
· Explain how, when, and why these methods have been used in a business situation.
· Justify a strategic choice based on a data analysis method.
· Use the data analysis method in Week 3 or another example of your choice.
· Assess how big data can influence organizational performance.
· You may consider using an example if you find that helpful to support your argument.
· Consider how data can create insight into a business problem and provide a sense of decision-making justification.
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ILOSTAT
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DataBank
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The Data and Decision Analytics Assessment paper
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Must be two to five to six double-spaced pages in length (not including title and references pages, charts or tables), and formatted according to
APA Style
· must include a separate title page with the following:
· title of paper in bold font
· Space should appear between the title and the rest of the information on the title page.
· student’s name
· name of institution
· course name and number
· instructor’s name
· due date
· must utilize academic voice
· must include an introduction and conclusion paragraph
· Your introduction paragraph needs to end with a clear thesis statement that indicates the purpose of your paper
· must use at least two credible source in addition to the course text
