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Business Data Analytics and Insightful Visualization

INFO 440
Closed
Main contact
Montclair State University
Montclair State University
Montclair, New Jersey, United States
Naushad Kollikkathara
Instructor
2
Timeline
  • September 27, 2017
    Experience start
  • September 27, 2017
    Project Scope Meeting
  • December 22, 2017
    Experience end
Experience
3 projects wanted
Dates set by experience
Preferred companies
New Jersey, United States
Small and medium sized enterprises, start-ups, non-profits
Any industries

Experience scope

Categories
Market research Sales strategy
Skills
data analysis visualization forecasting market analysis operations management
Learner goals and capabilities

A team of students will review and analyze your company's data project, create goals, leverage data analytics to spot trends and relationships, and build effective, insightful visualizations.

Learners

Learners
Undergraduate
Any level
30 learners
Project
18 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

At project completion, you’ll receive:

  • A 10-12 page document outlining the analysis and findings/recommendations for the business data project.
  • A Powerpoint or Tableau Storypoint presentation of the students’ approach, results, and actionable recommendations.
Project timeline
  • September 27, 2017
    Experience start
  • September 27, 2017
    Project Scope Meeting
  • December 22, 2017
    Experience end

Project Examples

Requirements

This project can help your business make better decisions based on data.

A group of four 3rd year student consultants will spend a semester (~14 weeks) solving a business data analytics challenge that is currently affecting your business. The group will set goals using the SMART method and orient the subsequent project based on the objectives identified. They will apply quantitative tools to analyze hidden trends and patterns towards informed decision making. They will convey findings using effective and interactive data visualization methods. Students typically look at publicly available datasets related to a variety of problems.

Past work examples include:

  • Determining house sale prices in neighborhoods based on county data, online real estate market place and structural features.
  • Establishing the hospital discharge and outcome probability of patients admitted to ICUs using data mining.
  • Predicting determinant variables and patterns that influence auto accidents in NYC.
  • Structuring ad revenue pricing for online media sites based on article shares.

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 - Checkbox
  • Q6 - Checkbox