Business Analytics Consulting - Spring 2025

MBA 691-001
Open to private marketplace Closing on February 1, 2025 / 1 spot left
Providence College
Providence, Rhode Island, United States
He / Him
Associate Professor
1
Timeline
  • February 10, 2025
    Experience start
  • February 18, 2025
    Status Report 1
  • February 21, 2025
    Virtual Check-In #1
  • March 18, 2025
    Status Report 2
  • March 21, 2025
    Virtual Check-In #2
  • April 8, 2025
    Status Report 3
  • May 12, 2025
    Experience end
Experience
1 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Data visualization Data analysis Data modelling Data science
Skills
business analytics data processing real world data tableau (business intelligence software) consulting problem solving
Learner goals and capabilities

Providence College’s Business Analytics Consulting course seeks to connect learners with organizations to tackle real-world data challenges. The students are skilled in data processing and problem-solving, using tools such as Excel, Alteryx, and Tableau.


Learners

Learners
Graduate
Intermediate, Advanced levels
27 learners
Project
60 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables

By collaborating with this experience, employers will receive:

  • A comprehensive report summarizing the project findings and actionable recommendations.
  • A final presentation where students present their solutions and address questions.



Project timeline
  • February 10, 2025
    Experience start
  • February 18, 2025
    Status Report 1
  • February 21, 2025
    Virtual Check-In #1
  • March 18, 2025
    Status Report 2
  • March 21, 2025
    Virtual Check-In #2
  • April 8, 2025
    Status Report 3
  • May 12, 2025
    Experience end

Project Examples

Requirements

Ideal projects include opportunities for students to apply their skills to solve real-world business challenges. Projects could focus on:

  1. Customer Segmentation Analysis: Using customer data to identify segments and tailor marketing strategies.
  2. Predictive Sales Modeling: Building a predictive model to forecast sales performance and trends.
  3. Inventory Optimization: Analyzing inventory data to reduce costs and improve supply chain efficiency.
  4. Website Traffic Analysis: Utilizing web analytics to improve user experience and conversion rates.
  5. Employee Turnover Analysis: Investigating workforce trends to improve employee retention strategies.