Analytics CASE#
This case study will have you review an article on lessons learned from implementing Machine Learning models at a travel company, Bookings.com. Bookings.com has been able to capture a significant amount of the online travel booking market by leveraging AI methods. In doing so, they documented what led to these successes.
Answer the following questions:
What was unique about Bookings.com’s approach to tracking the use of ML models?
What different types of models did they implement?
How do the overall themes in the article relate to the data science lifecycle?
Of the six “lessons learned” which two did you find the most interesting and why?
After having read this article why do you think many companies fail to realize the benefits of Machine Learning?
Finally, in a paragraph or two summarize your key takeaways.
Submission: A pdf document of your answers to the questions in paragraph form. Limit your responses to no more than five double spaced pages.
How will I know I have succeeded? I will meet spec when I follow the criteria in this rubric.
Spec Category |
Spec Details |
|---|---|
Formatting |
- 3-5 pages |
Review of Materials |
- Review the materials provided and take notes as needed |
Answering the questions |
- Goal: Provide detailed answers to the questions as presented. |
Takeaways |
- Goal: Reflect on your experience during the Analytics portion of the course as you work through the case study and see how the various topics mentioned manifest in this example. |
References |
- This section lists the references |
not familiar with the distinction please ask for assistance) |
Acknowledgements: Special thanks to Jess Taggart from UVA CTE for coaching us. This structure is pulled directly from Streifer & Palmer (2020).