Applied Data Analytics Project (MS ADA Program-App State)
Main contact
Timeline
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August 16, 2021Experience start
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June 5, 2021Project Scope Meeting
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July 31, 2021Midterm Review
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August 24, 2021Project Scope Meeting
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August 28, 2021Project Proposal Due
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October 9, 2021Mid-term due
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December 11, 2021Experience end
Timeline
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August 16, 2021Experience start
-
June 5, 2021Project Scope Meeting
Project Scope Meeting
-
July 31, 2021Midterm Review
Midterm Review
-
August 24, 2021Project Scope Meeting
Project Scope Meeting
-
August 28, 2021Project Proposal Due
Submit project proposal document and video presentation
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October 9, 2021Mid-term due
Submit mid-term report document and video presentation
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December 11, 2021Experience end
Experience scope
Categories
Operations Project management Sales strategy Marketing strategySkills
business analytics data analysis healthcare analytics marketing analytics supply chain management; business analyticsThis course is designed to provide an experiential opportunity for the students to apply their Business Analytics skills in solving a real business problem. In this course, students will work on a collaborative group or individual project that addresses, ideally, a live business problem using the analytical techniques learned in the other courses comprising this major. Students will clearly articulate the business problem and the goals of their chosen analytical approach. They will have access to realistically big data and an opportunity to appreciate, through an application, the possibilities and limitations of these analytical techniques. Students will be placed in companies and expected to understand and communicate the business implications of their analysis to interested stakeholders.
Learners
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 model
- Students will submit a proposal, mid-term report, and a final presentation/report, executive summary, and recommendations,
Project timeline
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August 16, 2021Experience start
-
June 5, 2021Project Scope Meeting
-
July 31, 2021Midterm Review
-
August 24, 2021Project Scope Meeting
-
August 28, 2021Project Proposal Due
-
October 9, 2021Mid-term due
-
December 11, 2021Experience end
Timeline
-
August 16, 2021Experience start
-
June 5, 2021Project Scope Meeting
Project Scope Meeting
-
July 31, 2021Midterm Review
Midterm Review
-
August 24, 2021Project Scope Meeting
Project Scope Meeting
-
August 28, 2021Project Proposal Due
Submit project proposal document and video presentation
-
October 9, 2021Mid-term due
Submit mid-term report document and video presentation
-
December 11, 2021Experience end
Project examples
Beginning in the fall of 2021, student consultants from the Master of Science in Business Analytics program 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 program.
Potential topics, activities, and research projects may include but are not limited to:
- Articulating a business problem or challenge and translating it to an analytical framework.
- Organizing and leading an analysis project, including defining business objectives, scope, and metrics, aligning stakeholders, securing data, and other resources.
- 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, the results that it produces, 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.
- 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:
Main contact
Timeline
-
August 16, 2021Experience start
-
June 5, 2021Project Scope Meeting
-
July 31, 2021Midterm Review
-
August 24, 2021Project Scope Meeting
-
August 28, 2021Project Proposal Due
-
October 9, 2021Mid-term due
-
December 11, 2021Experience end
Timeline
-
August 16, 2021Experience start
-
June 5, 2021Project Scope Meeting
Project Scope Meeting
-
July 31, 2021Midterm Review
Midterm Review
-
August 24, 2021Project Scope Meeting
Project Scope Meeting
-
August 28, 2021Project Proposal Due
Submit project proposal document and video presentation
-
October 9, 2021Mid-term due
Submit mid-term report document and video presentation
-
December 11, 2021Experience end