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QAC020N255A Big Data Analytics

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  • Course Code: QAC020N255A
  • University: University Of Roehampton
  • Country: United Kingdom

Question:

Scenario:

In this scenario, you have been hired as a Data Analyst by a reputable marketing firm. Your client is a telecom company that operates in a number of states throughout the US. The telecom company is going to launch a new service. Since existing customers are more likely to require new services from the company, they would like to find out in which state a new service can be advertised and sold.  The client is launching a new service and needs to determine which of its existing customers are more likely to need it.  They would need to find out which states are most affluent in order to increase revenue for the new service.

To solve this problem you can refer to data sets which are in the public domain. 

Given dataset has 3334 entries and 21 attributes, which show the following customer information.   

  1. State
  2. Account Length
  3. Area Code
  4. Phone
  5. international plan
  6. voice mail plan
  7. number vmail messages
  8. total day minutes
  9. total day calls
  10. total day charge

 

  1. total evening minutes
  2. total evening calls
  3. total evening charge
  4. total night minutes
  5. total night calls
  6. total night charge
  7. total international minutes
  8. total international calls
  9. total international charge
  10. customer service calls
  11. Churn

Task 1:   

1. Review and evaluate the following and explain how these can be utilised by the marketing firm to derive value from the data given in this scenario. Also, provide some examples of how your group would use these in the project. You should state any assumptions clearly.

I. Data warehouse
II. MongoDB vs HBase. (NoSQL Databases)
III. Databricks Vs Apache Spark
IV. Hadoop Ecosystem components

Task 2:       

  1. You must use Tableau to analyze and disclose various associations within the data set provided. Using Tableau, find answers to the following questions based on your analysis. You need to provide a rationale and justification for your solution.   Each question must have a separate worksheet with a chart, graph or a table that shows your findings.
 
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"Big Data Analytics." My Assignment Help, 2020, https://myassignmenthelp.com/free-samples/qac020n255a-big-data-analytics.

My Assignment Help (2020) Big Data Analytics [Online]. Available from: https://myassignmenthelp.com/free-samples/qac020n255a-big-data-analytics
[Accessed 22 September 2020].

My Assignment Help. 'Big Data Analytics' (My Assignment Help, 2020) <https://myassignmenthelp.com/free-samples/qac020n255a-big-data-analytics> accessed 22 September 2020.

My Assignment Help. Big Data Analytics [Internet]. My Assignment Help. 2020 [cited 22 September 2020]. Available from: https://myassignmenthelp.com/free-samples/qac020n255a-big-data-analytics.


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