Final Project Guideline Document

Data Analytics INFO 8065
Marks = 100, Project Grade Weight = 35% (25% Group + 10% Individual Contribution)
Project Group size = minimum4,maximum 5 per group
Total Group Presentation Time = minimum 13-15 minutes : maximum = To be
determined by instructor depending on the number of groups.
Presentation Date: At the end of the course
Description: Your final project is meant to expose you to a full life cycle of a data project. You are
required to understand the domain and present key insights from the real-world dataset keeping
CRISP -DM framework in mind.
Real word open datasets can be found using any of the following links.
Kaggle.com,https://datasetsearch.research.google.com/ , https://data.ontario.ca/dataset
Cleaning and manipulation of data outside python is not permitted (If applicable) . You can also
create a prescriptive analytics model in EXCEL. However, you may use tools like Tableau, Power
Point or Power BI etc. to present your final insights.
Please note you are not limited to the above resources and are free to bring your own datasets if
it satisfies the copyright laws.

Project Outline Example

Project Title:
Briefly provide a title to your data analysis final project.
For example:
1-) "Analyzing customer churn in ABC phone company"
2-) "Identifying the Characteristics of Successful Kickstarter Campaigns"
3-) "Analyzing the Effects of Climate Change on Global Food Production"
4-) "Analyzing 5000 Movie ratings"
5-) "Determining the Drivers of Customer Satisfaction"
Group Member(s): Write the name of your group members

Client: Mention the Ideal End user of your analysis findings (please be specific and define your end user
at an operational level) For example, instead of simply writing "the end user is Netflix organization" ,
write, "the end user of our analysis is the Chief Revenue Manager of the Movie streaming giant Netflix,
who is looking for studying user preferences with the ultimate goal of increasing her company's

revenue"
Operational Analytics Problem Statement:
Include client problem (something you must make up based on the dataset your group chose): This
includes problem background and how is this problem curtailing company's growth or operations. For
example, a project that involves analyzing a company's online sales, you can define the problem as: A
large online retailer is not able to keep up with the competition in terms of online sales and as such has
been losing market share to its competitors over the past few years.
This company is also not able to attract new customers and retain its existing customer base. Hence this
company has hired a team of data professionals to investigate their customer demographics and online
transactions to find insights and ultimately recommend key decisions to alleviate the problem.
Project Deliverable:
Explain at a high level the components of your project's data analysis findings. For example;
Key metrics:
-Number of users
-Number of sessions
-Average session duration
-Bounce rate
Insights:
-User behavior
-What users are doing on the site
-What areas need improvement
Recommendations:
-Changes to improve the user experience
-New features or functionality to consider
Consider this as a paid consultant project, your deliverables are binding terms with client and will dictate
the overall project completion and quality.
How does your solution provide value? Please explain clearly how your solution can help solve the
institution' s operational problem. For example, if a health care institution wants to reduce patient wait
times, you might discuss how your data analysis report can help identify areas where wait times are the
longest and where process improvements can be made. This will help the institution to focus on those
areas in order to reduce patient wait times.

Instructor Comments: Office use only