Homework
JWI 599: Business Analytics and Capstone
Assignment 2
© Strayer University. All Rights Reserved. This document contains Strayer University confidential and proprietary information and may not be
copied, further distributed, or otherwise disclosed, in whole or in part, without the expressed written permission of Strayer University.
JWI 599 – Assignment 2 (1244) Page 1 of 3
Assignment 2: Data Analysis
Due: Monday, 9:00 am (eastern), Week 6 (Weight: 20%)
Overview
This assignment picks up where the last one left off. Having accurately framed the core problem/opportunity in
Assignment 1, you will now turn your attention to collecting, organizing, and analyzing the data you are using
to test your hypothesis. You are not yet ready to propose a specific action plan for your business. You will
focus on evaluating what data you have and don’t have, and on identifying patterns, trends, and anomalies.
Because you can never have complete data, your analysis must acknowledge what you know and what you
don’t know. But, even with incomplete data, your actions must be reasonable given the time frame and
resources you have. Those actions – your strategic plan – will be developed in Assignment 3.
Instructions
For this assignment, you will build on your first assignment by including an additional 3 to 4 pages to present
your analysis of the data. Your submission must include the work you did in Assignment 1 and must provide
relevant and quantifiable data, models, calculations, and analysis. Use the topics below to organize this
section of your Board Brief:
1. Data Sources and Reliability
a. What data were the most critical to the analysis of the problem/opportunity you identified in
Assignment 1? Explain.
b. What sources did you use to gather the data?
c. How reliable and complete are the data you are using? What steps did you take to validate
this?
d. What data are unknown (or unknowable) at this stage? How does this impact your analysis?
2. Data Tools and Analysis
a. Drawing from the “Types of Analysis” guide and other resources from the course, what tools
and techniques have you used in your analysis? Why did you select these?
b. Applying the analysis tools to your selected data, what patterns, trends, and anomalies did
you uncover?
c. How do these patterns, trends, and anomalies shed light on the problem/opportunity you
identified?
d. Leveraging your work in the Discussion Questions and the guidance from our course
materials, include charts, tables, and/or other visual supports to ensure that your data tells a
clear story that your reader can easily understand.
JWI 599: Business Analytics and Capstone
Assignment 2
© Strayer University. All Rights Reserved. This document contains Strayer University confidential and proprietary information and may not be
copied, further distributed, or otherwise disclosed, in whole or in part, without the expressed written permission of Strayer University.
JWI 599 – Assignment 2 (1244) Page 2 of 3
3. Conclusion and Action Items
a. What does your analysis tell you about where you should focus your efforts to drive
meaningful improvement?
Formatting and Submission Requirements
• Submit your work in Word
• Include a cover page containing the title of the assignment, your name, your professor’s name, and
the course title and date
• Include a references page with your sources
• The cover page and the references page are not included in the required page length
• Use professional font (Times New Roman or Arial), 10-12 font size, and double-space
• Headings are used to identify main topics and subtopics
• Paragraphs are separated by a single space
JWI 599: Business Analytics and Capstone
Assignment 2
© Strayer University. All Rights Reserved. This document contains Strayer University confidential and proprietary information and may not be
copied, further distributed, or otherwise disclosed, in whole or in part, without the expressed written permission of Strayer University.
JWI 599 – Assignment 2 (1244) Page 3 of 3
Rubric: Assignment 2
Criteria Unsatisfactory Low Pass Pass High Pass Honors
1. Data Sources
and Reliability
Weight:25%
Response was
missing,
inaccurate, or off-
topic, and/or
addressed 2 or
fewer of the
questions
Provided a basic
response to 2 or
more of the
questions;
contained minimal
detail or insight
into the value of
the data
Provided a good
response to 3 or
more of the
questions;
demonstrated
good attention to
detail and insight
into the value of
the data
Response
provided a
complete and well-
reasoned
treatment of all 4
questions and
provided very good
additional detail
and insight into the
value of the data
Met HP criteria
plus added
significant and
relevant
commentary on
data identification
and collection
and application
processes
2. Data Tools and
Analysis
Weight: 25%
Did not submit an
adequate response
for any of the data
analysis questions
Submitted a
complete and
accurate response
for 2 or fewer
questions
Submitted a
complete and
accurate response
for 3 questions, but
lacked sufficient
exploration of main
themes
Submitted a
complete and well-
reasoned
treatment of all 3
questions
supported by
specific examples
Met HP criteria
plus added
significant
relevant insight
from additional
sources
3. Data
Presentation
Weight: 30%
Data presentation
was missing or
poorly displayed;
did not make use
of appropriate
charts, tables,
graphs, or other
tools covered in
the course
Data presentation
used 2 or fewer
tools covered in
the course and/or
selection of tools
was arbitrary and
did not direct the
reader to critical
patterns, trends,
and anomalies
Data presentation
used 3 or more
tools covered in
the course, but
selection of tools
seemed arbitrary;
critical patterns,
trends, and
anomalies were
not clearly
displayed
Data presentation
used 3 or more
tools covered in
the course;
selection of tools
was appropriate for
each data set and
enabled the reader
to clearly identify
critical patterns,
trends, and
anomalies
Met all HP criteria
plus made
excellent use of
color, page
layout, and other
design elements
that made the
paper engaging
and visually
compelling
4. Conclusions and
Action Items
Weight: 20%
Conclusions and
action items were
missing, unclear,
or did not connect
the data and
analysis
Conclusions and
action items were
basic and lacked
sufficient detail or
did not connect the
data and analysis
Conclusions and
action items were
sound and
supported by the
data and analysis
Conclusions and
action items
demonstrated
excellent insight
and were well-
grounded in the
data and analysis,
demonstrating a
solid grasp of real-
world obstacles
and opportunities
Met all HP criteria
plus included
additional insights
and references,
demonstrating a
thorough
understanding of
Jack’s guidance
on ‘eating and
dreaming’
