MIS 690 Topic 8 Benchmark Capstone Project Presentation GCU

MIS 690 Topic 8 Benchmark Capstone Project Presentation GCU
MIS 690 Topic 8 Benchmark Capstone Project Presentation Recommendations and Reporting
Create a PowerPoint presentation of 10 to 15 slides, not including the title or reference slides. Utilize the “Capstone Project Thesis Template” as a guide for organizing your presentation. However, summarize your thesis specifically addressing your process for building, validating, testing, and applying of your model and tailor your presentation specifically for senior management. Your presentation should include how you determined that your analytics solutions addressed the specific business problem and conclude with specific future challenges and concluding recommendations. The presentation should be professional and should clearly communicate the results of the analytic models to the intended stakeholders.
You are required to include talking points in the “Notes” section of each slide. These notes should provide information that would be verbally conveyed when delivering the presentation in person.
Additionally, the last slides of your presentation are required to include references you have been acquiring from your Capstone Project Thesis.
Refer to the resources, “Creating Effective PowerPoint Presentations,” located in the Student Success Center, for additional guidance on completing this assignment in the appropriate style.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are not required to submit this assignment to LopesWrite.
Benchmark Information:
This benchmark assignment assesses the following programmatic competencies:
MS Business Analytics
1.3: Build, validate, test, and apply analytics models.
2.2: Determine optimal analytics solutions to address specific business needs.
2.4: Communicate results of analytics analytical models to multiple stakeholders.