[Solved] : Does Big Data Bring Big Rewards

Assignment: Case Study 2 (75 points)

Read the case study Does Big Data Bring Big Rewards (this can be found as an attachment to the case study in Week 2 within Moodle).

• The Case Study Review should include (2 to 3 pages)
  • This does not include title pages or reference pages
  • This is at least 2.5 written pages (page 3 must be at least of a page)
• Summary of the case
  • This should be thorough enough (but not plagiarized (meaning in your own words)) to give a reader who has not read the case a very good idea of what is going on
  • Somewhere in the summary should be an explanation of what big data is
• Answer to the questions at the end of the case which are based on the case, textbook readings or outside sources (these are not your opinion but you can include comments)
  • Big Data which is discussed in our text book on pages 12, 95, 110 and 211
  • Question 6-15 talks about business intelligence technologies described in this case:
    • I will give you a hint many of the companies (Vestas, NYC and AutoZone) are using data warehouses and data marts (discussed on pages 219-220 of our text book), Google is using an algorithm and Sears used a Hadoop open source software.
  • Conclusion which is your thoughts on the case and its contents
  • In completing the case I want at least 3 in-text citations referencing the text book material or an outside source backing up your comments/answers

Present the paper in Microsoft Office Word document format. Name the file LastName_Case_Study_2.doc and submit it to the Online Venue (Moodle) by the beginning of Thursdays class of Week 5.

• All written assignments and responses should follow either MLA/APA rules
  • Title page (in MLA the title is usually on the first page but, the instructor can request a title page and this is what I am asking for so that there is at least 2.5 full pages of content)
  • No paragraph spacing
  • Double spaced
  • 1 margins (top, bottom, left and right)
  • 12pt font size
  • Times New Roman
  • References and in-text citations follows either the APA or MLA rules
  • Can follow link for the Purdue Owl site for information on MLA/APA: https://owl.english.purdue.edu/owl/section/2/

Describe the kinds of big data collected by the organizations described in this case

QUESTION 2: List and describe the business intelligence technologies described in this case.

QUESTION 3: Why did the companies described in this case need to maintain and analyze big data? What business benefits did they obtain? How much they were analyzed using big data?

QUESTION 4 Identify three decisions that were improved by using big data.

QUESTION 5: What kinds of organizations are most likely to need big data management and analytical tools? Why? What are the issues to be addressed before the company decides to work with big data?

How Much Does Data-Driven Planting Help Farmers?

1. List and describe the technologies used in this case study?
2. How do the systems described in this case provide operational intelligence?
3. How does predictive planting support decision making? Identify three different decisions that can be supported?
4. How helpful is predictive farming to individual farmers and agricultural industry? Explain your answer?