Description
Create a presentation that analyzes the Sprint case from our reading assignment using the new forms of data under datification. Identify what forms of data were used by Sprint in their big data project and why. What value did each form of data bring to the big data project? Use the following data forms in your analysis:
- Activity data
- Conversation data
- Photo and Video data
- Sensors data
- Internet of Things
Your presentation should:
- Be 10-12 slides in length (not including title and reference slides).
- Use outline format and Include presenter's notes for each slide to further detail the key text that is included on each slide.
Your presentation should be 10-12 pages in length and conform to the CSU Global Writing Center (Links to an external site.). Include at least two scholarly references in addition to the course textbook. The CSU Global Library is a good place to find these references.
Explanation & Answer
You can skip the background subsection. I will conclude that much later
FORMS OF DATA AND THE
VALUE THEY BRING!
A CASE OF SPRINT MOBILE PROFILING ITS CUSTOMERS
FOR TARGETTED ADVERTISMENT USING MOBILE NETWORK
DATA
INTRODUCTION
• This presentation critically analyzes the data Spring mobile (a
leading telecoms service provider in the USA) collects from its
customers to enable the creation of targeted advertisement.
• It then subdivides the data in the form of
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Activity data
Conversation data
Photo and Video data
Sensors data
Internet of Things
• And then describes the value each of these form of data brought
into the advertising project at Sprint Mobile
BACKGROUND
• to them, and the value each of the data collected provides in
improving targeted advertisement.
• The three main types of data collected from customers are:
locational data, behavioral data and demographic data (Marr,
2016), while this presentation attempts to further sub categorize
these data types into:
ACTIVITY DATA COLLECTED
• In big data studies, activity data are data collected from online activities
such as visits to websites, responding to a messages, carrying out a
search, responding to an advertisement, and other activities the
customers carry out on their mobile phones, and the frequency and time
these activities are carried out (Kudyba Stephan, 2014).
• In this case study, the activity data were collected from the destination
websites the customers interacted, the time they carried out such
activities as recorded in network packets, and the frequency with which
they carried out such activities (Marr, 2016). They were used to
determine the types of activities the customer takes interest in or
participates in and to target advertisements that correlate with such
activities.
• Though the exact content of the network traffic for these activities was
not collected as it was encrypted, the destination, time, the frequency of
such activities was collected and analyzed.
CONVERSATION DATA COLLECTED
• Conversation data are data collected from online communications such as
comments, replies, and chats with individuals, representatives of brands,
and Chabot on websites, blogs, and social me...
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