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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.
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