Business Analytics for Decision Making
Timeline
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January 29, 2021Experience start
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May 1, 2021Experience end
Experience scope
Categories
Information technology Data analysis Market research Marketing strategySkills
business consulting competitive analysis business analytics business strategy data analyticsThis course provides students in the STEM-designated Masters of Business Analytics program with the opportunity to use the skills they have developed through other coursework in statistics and analytics to the development and execution of a capstone project. The projects, using real-world situations and data, serve as preparation for careers in industries such as marketing, consulting, and finance that require extensive knowledge and application of industry-leading consultative processes.
Many organizations face the challenges of developing information into knowledge and then converting that intelligence into actionable decisions. Organizations demand the interdisciplinary skills of professionals who can find insights through research and analysis that can assist decision-makers across various divisions. Students from the Simon Business School at the University of Rochester will create a narrative on how advanced analytical techniques can provide actionable business solutions.
Learners
Deliverables may vary depending on the scope of your project or challenge and may include but are not limited to:
- A project proposal document
- A fully detailed written report
- An executive summary presentation
- Impactful and actionable recommendations
Project timeline
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January 29, 2021Experience start
-
May 1, 2021Experience end
Project Examples
Requirements
For decades, the Simon Business School at the University of Rochester has been a business education leader. Our long tradition of innovation, commitment to research and testing, and inclusivity and diversity position us for continued success. Our research and teaching are strongly focused on analytics and economics and how data can be used to drive critical business decisions so that you can enter the business world prepared to impact real change. In 2018 we became the first business school to secure STEM designation for each of its Masters and MBA specializations.
In this course, students can contribute to your organization's mandate by conducting detailed analytical output regarding the use of both advanced and non-advanced analytics with key findings and insights and how they benefit the organization.
Examples include but are not limited to:
- Recommendations and conclusions
- An executive summary presentation
- Identifying trends and establishing correlations
- Creating predictive models
- Submitting recommendations based on the analysis
- Strategic Customer Segmentation Analysis
- Identifying and enhancing marketing campaigns through evaluating customer segmentation (Gen Z (68m), Gen Y (Millennials- 72m), Gen X (65m) & Baby Boomers (71m).
- Implementing cutting edge technology to analyze customer segmentation relative to platform engagement.
- Development of Reporting Dashboards with drill-down analytical capabilities
- Development of predictive analytics solutions using machine learning techniques, which include the use of artificial intelligence
- Customer Segmentation Development including clustering-type solutions
- Customer Relationship Management Campaign Design and Implementation
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
January 29, 2021Experience start
-
May 1, 2021Experience end