Data-Driven Strategic Planning and Decision Making - 0A

GMBA 625-0A
Closed
Main contact
Instructor
(3)
5
Timeline
  • March 20, 2023
    Experience start
  • March 25, 2023
    Project Scope Meeting
  • April 1, 2023
    Project Implementation Meeting
  • April 8, 2023
    Sprint 1
  • April 15, 2023
    Sprint 2
  • April 22, 2023
    Experience end
Experience
3/3 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Marketing analytics Data visualization Data analysis Data modelling Data science
Skills
business analytics data analytics
Learner goals and capabilities

Looking to elevate your organization, and bring it to the next level? Bring on students from Gannon University Dahlkemper School of Business to be your student-consultants, in a project-based experience. Students will work on one main project over the course of the semester, connecting with you as needed with virtual communication tools.

Students in this program/course examine the technologies, information, and analytics critical for effective management and control of modern firms. This course focuses on dynamic decision-making and optimization approaches for complex decisions and strategies for data-driven decision-making. Students will gain an in-depth understanding of the data analytics process and the skills necessary to translate business problems into actionable proposals that strengthen an organization’s competitive position in the marketplace.

Learners

Learners
Graduate
Any level
20 learners
Project
20 hours per learner
Learners self-assign
Teams of 5
Expected outcomes and deliverables

Deliverables are negotiable, and will seek to align the needs of the students 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
Project timeline
  • March 20, 2023
    Experience start
  • March 25, 2023
    Project Scope Meeting
  • April 1, 2023
    Project Implementation Meeting
  • April 8, 2023
    Sprint 1
  • April 15, 2023
    Sprint 2
  • April 22, 2023
    Experience end

Project examples

Requirements

Students in groups of 4-6 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.

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

  • Understanding how organizations utilize data to progress their missions, visions, and goals.
  • Analyzing data and applying analytic skills to identify business problems and propose data-driven recommendations or solutions.
  • Understand how data analytics tools, models, and technologies are employed to extract valuable intelligence and insight to guide strategic planning and business strategy.
  • Apply data science tools to uncover business opportunities and manage risks.
  • Oral, written, and visual communications appropriate for professional business entities.
  • Interpret and communicate results of analytics projects into actions that meet desired outcomes.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
  • Q2 - Checkbox
  • Q3 - Checkbox
  • Q4 - Checkbox
  • Q5 - Text short
    How is your project relevant to the course?