Montclair State University
Montclair State University
Log in Sign up

Capstone Practicum in Business Analytics

INFO400
Closed
Montclair State University
Montclair State University
Montclair, New Jersey, United States
Rashmi Jain
Professor
(7)
5
Timeline
  • February 1, 2021
    Experience start
  • February 6, 2021
    Project Scope Meeting
  • March 20, 2021
    Midterm Review
  • April 10, 2021
    Experience end
Experience
8/8 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Data analysis Market research Operations Project management
Skills
business analytics business consulting business strategy market analyis data analysis
Learner goals and capabilities

The students will work on a collaborative group or individual project that enables them to:

1. Gain an understanding of all aspects of a live business problem and the experience of formulating it into a problem that can be addressed using the analytical approaches.

2. Acquire hands-on familiarity with applying the basic techniques of data extraction, transformation, and preparation, as applied to big data in the context of a live business problem.

3. Acquire experience choosing and using analytical and visualization techniques and appropriate software in the solution of a live business problem.

4. Communicate clearly using visualization tools, the business problem that is being addressed through the data mining technique, the results that it produces, and the implications of these results, including any ethical implications.

5. Acquire a strong understanding of data strategy and governance in a company and how it is communicated and implemented through the organization structure.

Learners

Learners
Undergraduate
Any level
28 learners
Project
15 hours per learner
Learners self-assign
Teams of 3
Expected outcomes and deliverables

Benefit from authentic collaboration with students to breathe new life into your organization.

Final deliverables may include, but are not limited to:

  • Requirements Analysis
  • Market Research
  • Business process and operations analytics
  • Optimization of operations
  • Governance Structure
  • Pricing Analytics
  • Demand forecasts
  • Market Forecasts
  • Development of dashboards and predictive models
  • A final presentation
  • An executive summary
  • A report of recommendations
  • Project Charter
  • What can your company do in terms of the next steps and plans?
Project timeline
  • February 1, 2021
    Experience start
  • February 6, 2021
    Project Scope Meeting
  • March 20, 2021
    Midterm Review
  • April 10, 2021
    Experience end

Project Examples

Requirements

Beginning in the spring of 2021, student consultants will work with your organization to identify and formulate a business problem that can be addressed using the analytical approaches that have been covered in this degree program.

Potential topics, activities, and research projects may include:

  • Organizing and leading an analysis project, including defining business objectives, scope, and metrics, aligning stakeholders, securing data, and other resources.
  • Writing and winning approval for a project charter.
  • Applying the basic techniques of data extraction, transformation, and preparation, as applied to large data sets in the context of a live business problem.
  • Choosing and using analytical and visualization techniques and appropriate software in the solution of a live business problem.
  • Communicating clearly using visualization tools to a business audience the business problem addressed through the data analytics technique, its results, and the implications of these results for your organization's different functions, including any ethical implications.
  • Situating your project within a larger business context, data strategy, and governance process for the organization.
  • Recommending plans and implementation that will benefit the organization.
  • Articulating a business problem or challenge and translating it to an analytical framework.
  • Managing and utilizing big data: sources, methods, challenges, and opportunities.
  • Implement popular techniques (using appropriate software) to analyze structured and unstructured data and draw useful business inferences.
  • Understanding the capabilities and limitations of analytical techniques and select the most appropriate technique for the business problem at hand.
  • Applying analytical techniques to a live business situation and craft practical recommendations.
  • Presenting analytical results that are clear, useful, visual, and appropriately framed for the problem.
  • Understanding and communicating the business implications of their analysis to interested stakeholders and decision-makers.

Additional company criteria

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

  • Q - Checkbox
  • Q - Checkbox