Assignment and Discussion

Case Study 3: BBVA Seamlessly Monitors and Improves its Online Reputation
Due Week 7 and worth 60 points

Read
the End of Chapter 7 Application Case titled, “BBVA Seamlessly Monitors
and Improves its Online Reputation,” located in the textbook.

Write a four to five (4-5) page paper in which you:

1. Examine the business drivers for monitoring and improving BBVA’s online reputation.
2. Explain how BBVA implemented their text mining solution.
3. Explain the challenges BBVA encountered and how they overcame them using text mining and social media analysis.
4. Recommend other areas, in your opinion, where BBVA could use text mining and explain your reasons.
5. Use at least three quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.

Your assignment must follow these formatting requirements:

• This course requires use of new Strayer Writing Standards (SWS).
  The format is different from other Strayer University courses. Please
  take a moment to review the SWS documentation for details.
• Be
  typed, double spaced, using Times New Roman font (size 12), with
  one-inch margins on all sides; citations and references must follow SWS
  or school-specific format. Check with your professor for any additional
  instructions.
• Include
  a cover page containing the title of the assignment, the student’s
  name, the professor’s name, the course title, and the date. The cover
  page and the reference page are not included in the required assignment
  page length.

The specific course learning outcomes associated with this assignment are:

• Explain the role of text mining and Web mining as they relate to BI and DSS.
• Write clearly and concisely about text mining topics using proper writing mechanics and technical style conventions.

Discussion

Text mining benefits – Please read and respond to the following:

• Use the Internet to find a success story or case study on text mining within the last twelve months.
• Post the link to the case study or success story you found.
  Describe the business benefits the company/organization realized from
  implementing text mining. Describe any privacy issues they may have
  encountered.
• Respond to another student’s post. Read the case study or success
  story they found. Explain any structured or unstructured data you
  believe the company/organization may have used. Justify your response.

(Note: For citing Internet sources in your
discussion, please see the Web Sources section of the Strayer Writing
Standards guide available in the left-hand menu.)