DataAnalytics2023Fall_Assignment_1(1)
pdf
School
Rensselaer Polytechnic Institute *
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Course
4960
Subject
Industrial Engineering
Date
Dec 6, 2023
Type
Pages
1
Uploaded by MinisterHorseMaster970
Assignment 1: Data Analytics Fall2023 (5% written)
Due: September 12
th
, 2023, by 11:59 pm ET
. (by before end of the day, 11:59pm
ET)
Submission method: written document by LMS submission (Assignment link)
Please use the following file naming for electronic submission:
DataAnalytics_A1_YOURFIRSTNAME_YOURLASTNAME.xxx
Late submission policy: first time with valid reason
–
no penalty, otherwise 20% of
score deducted each late day
Do NOT use ChatGPT. You will get zero points and it will be your first strike,
second time, failure of the class
Note: Your report for this assignment must be the result of your own individual
work. Take care to avoid plagiarism (“copying”)
, and include references to all web
resources, texts, and class presentations. You may discuss the problems with other
students, but do not take written notes during these discussions, and do not share
your written solutions
or accept anyone else’s solutions as input for your work
.
General assignment: choose and review an existing case study for Data Analytics
from (note some require registration/ sign up):
Choose a ONE case study from the following list:
http://www.slideshare.net/lsakoda/case-studies-utilizing-real-time-data-analytics
,
https://www.businessesgrow.com/2016/12/06/big-data-case-studies/
,
http://www.marketquotient.com/case-studies.html
https://www.instaclustr.com/resources/ibm-case-study/
https://www.ibm.com/case-studies/search
https://store.hbr.org/case-studies/
https://hbsp.harvard.edu/cases/
(or find one and have it approved by instructor via email, make sure to CC that email
with the TA). The weighting score for each question is included below.
Use the question numbering below for your written responses for this assignment.
1.
Review their business case, area of application, approach/ methods, tools used,
results, actions, benefits. Write a summary/ critique of one case study that you
chose. Min. 25-30 sentences, diagrams or figures taken from the case study or
prepared by you are desirable. You must include suitable references, i.e. to any
material from the case study or other sources. (5%)
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