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Data-Driven Consultancy

BA 482
Closed
Ball State University
Ball State University
Muncie, Indiana, United States
HZ
Hamed Zolbanin
Assistant professor
1
Timeline
  • January 14, 2018
    Experience start
  • January 29, 2018
    Project Scope Meeting
  • February 5, 2018
    Business Understanding
  • February 26, 2018
    Data Understanding
  • April 30, 2018
    Analysis & Presentation
  • May 7, 2018
    Experience end
General
  • Undergraduate; 4th year
  • 12 learners; teams of 3
  • 150 hours per learner
  • Dates set by experience
  • Learners self-assign
Preferred companies
  • 4 projects wanted
  • Anywhere
  • Academic experience
  • Doesn't matter
  • Not important (but sports, healthcare, and retail may be better)
Categories
Skills
database design business analytics data analytics statistics visualization
Project timeline
  • January 14, 2018
    Experience start
  • January 29, 2018
    Project Scope Meeting
  • February 5, 2018
    Business Understanding
  • February 26, 2018
    Data Understanding
  • April 30, 2018
    Analysis & Presentation
  • May 7, 2018
    Experience end
Overview
Learner goals and capabilities

Student-consultants will analyze your organization's data discovering new insights to improve your current processes and help you make data-driven decisions.

Expected outcomes and deliverables

Phase 1 – Project Scope Meeting: Students will meet with organization representative(s) to devise the project scope and prepare a detailed plan for completion of the project.

Phase 2 – Project Execution: Students will work on deliverables outlined in the project plan. The team will periodically communicate with organization representative(s) as needed to complete project tasks.

Phase 3 - Outcome - Report and Presentation: Students will submit a 20-page report with data analysis and recommendations. The team will also present this in the last class. Organization representative(s) are invited to attend these presentations.

Project Examples

Beginning in January, a team of three student-consultants will implement analytical tools to solve an organizational challenge that you are currently facing.

The data-driven solution that's implemented will provide an operational advantage such as:

  • Identifying the most profitable customer profile
  • Predicting future outcomes
  • Visualizing data for business intelligence
  • Designing databases

Analytical tools may include:

  • SAS Enterprise Guide
  • SAS Enterprise Miner
  • KNIME Analytics Platform
  • Python, Tableau
  • SQL Server
Additional company criteria

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

Be available for a 1-hour interview (virtual, phone, or in person) in order to make sure the students fully understand your company, industry and needs

Minimum of 2-4 interactions with the students in-person or remotely (approximately 4-6 hours over the duration of the project).

Provide a dedicated contact who will be available to answer periodic emails or phone calls over the duration of the project to address students' questions or provide additional information.