case study
End-of-Lecture Application Case Lecture 5
Keeping Students on Track with Web and Predictive Analytics
FAREEHA BILAL KHAN
1. Describe challenges that APUS was facing? Discuss the ramifications of such challenges.
APUS had a lot of challenges that they were facing being a relatively new online institution.
Online institution
Being an online institution APUS faces a lot of competition from the notmal(non-online) institutions as well as its online competitors.
Relatively new
Since APUS is relatively new it’s hard for it to make its place in the market and in customer’s minds. It is new and of course less know and popular hence there is doubts in customer’s minds if they should choose APUS.
Less student enrollment
Less student enrolment will result in less profit.
Absolutely important to Increase Student Retention
It is important for APUS to increase student retention by minimizing the student dropout rate.
Increased dropout rate will result in profit reduction and will earn APUS bad reputation and ultimately bankruptcy.
Data collection
It is important for APUS to collect useful data to have input to analyze challenges such as student retention.
2. What types of data did APUS tap into? What do you think are the main obstacles one would have to overcome when using data that comes from different domains and sources?
APUS taps into
Demographic data
Registration data
Course level date etc
Types of data APUS deals with
Structured date from database
Unstructured data ( text, word files etc)
Main obstacles
Main obstacles when using data that comes from different domains and sources
Natural language processing with text data has to be interpreted
Too much information for effective data mining
Not specific to domain
Too complex and Dynamic
Standardize sources and standardize domains
3. What solutions did they pursue? What tools and technologies did they use?
Solution
APUS decided to leverage power of predictive analytics on its
Keeping Students on Track with Web and Predictive Analytics
FAREEHA BILAL KHAN
1. Describe challenges that APUS was facing? Discuss the ramifications of such challenges.
APUS had a lot of challenges that they were facing being a relatively new online institution.
Online institution
Being an online institution APUS faces a lot of competition from the notmal(non-online) institutions as well as its online competitors.
Relatively new
Since APUS is relatively new it’s hard for it to make its place in the market and in customer’s minds. It is new and of course less know and popular hence there is doubts in customer’s minds if they should choose APUS.
Less student enrollment
Less student enrolment will result in less profit.
Absolutely important to Increase Student Retention
It is important for APUS to increase student retention by minimizing the student dropout rate.
Increased dropout rate will result in profit reduction and will earn APUS bad reputation and ultimately bankruptcy.
Data collection
It is important for APUS to collect useful data to have input to analyze challenges such as student retention.
2. What types of data did APUS tap into? What do you think are the main obstacles one would have to overcome when using data that comes from different domains and sources?
APUS taps into
Demographic data
Registration data
Course level date etc
Types of data APUS deals with
Structured date from database
Unstructured data ( text, word files etc)
Main obstacles
Main obstacles when using data that comes from different domains and sources
Natural language processing with text data has to be interpreted
Too much information for effective data mining
Not specific to domain
Too complex and Dynamic
Standardize sources and standardize domains
3. What solutions did they pursue? What tools and technologies did they use?
Solution
APUS decided to leverage power of predictive analytics on its