Learners are second-year MBA students. Most are working professionals. This is a cohort-based, executive-style MBA program in Analytics.

The best match projects for these students will be projects that combine aspects of descriptive and predictive analytics. Students are required to deliver at least part of the solution using Tableau.

Students will be focusing on:

1. Describing and explaining various systems development lifecycles and methodologies (as an overview)
2. Understanding the overall systems implementation and operation issues, including technical, managerial, and interpersonal aspects of implementing enterprise systems in organizations.
3. Developing a deep understanding of how technical and organizational factors work together to ensure the success of analytics system implementation.
4. Using Tableau to tell detailed data stories.
5. Organizing in a team environment to share requirements, code, and other resources to deliver a real-world analytics project.

Project activities that learners can complete may include, but are not limited to: 

• Data scrubbing and preparation
• Data Visualization using Tableau
• Data Analysis using Excel, Tableau, and Python
• Identifying hidden relationships in historical data.
• Identifying particular opportunities for action.

Deliverables are negotiable, and will seek to align the needs of the learners and the organization. 

Some final project deliverables might include: 

1. A 10-15 minute presentation on key findings and recommendations
2. A detailed report including their research, analysis, insights and recommendations