Complete the simulation to build your presentations

Assignment Help Project Management

Reference no: EM133121670

Simulation Case Presentation (managerial and narrative presentations).

You need to complete the simulation to build your presentations.

Discussions:
- People Analytics & Business Culture - from HBP Coursepack
- Big Data: The Management Revolution - from HBP Coursepack
- Minding the Analytics Gap - from HBP Coursepack

Week 5 - Midterm: Case Study, Simulation, & Presentation

Case Study & Simulation:

Read for Simulation Case:

Managing with Analytics at Procter & Gamble
Data Analytics Simulation: Strategic Decision Making - be sure to read the foreground reading, "Data-Driven Management of Blue at Kelsey-White" found in the prepare tab of the simulation.
Run the Simulation:

You will explore four years of past results using the different filters, etc.
Then work to make decisions for the four annual cycles by setting the price, determining what to product, and picking which product attributes to use, along with marketing and media spending. Work to find the optimal solution (no right or wrong), but be ready to justify decisions based on the case context in your presentations.
Build Presentations:

Build two presentations to communicate your findings:
First a "narrative presentation" - 10 slides or less - presenting to other analysts about your findings and recommendations.
Second a "managerial presentation" - 10 slides or less - presenting to an executive team supporting your findings and recommendations using analytics.
The presentations should each include:
Key Findings
Assumptions
Next Steps
Required Resources
Submit Findings & Presentation

Acito, F., & Khatri, V. (2014). Business analytics: Why now and what next? Business Horizons, 57(5), 565-570.

Corrigan, G. (2015). Recruiting Analytics Talent: Attracting, Retaining, and Growing a Critical Yet Scarce Resource. Business Intelligence Journal; Seattle, 20(3), 17-24.

Viaene, S., & Van den Bunder, A. (2011, September). The Secrets to Managing Business Analytics Projects.

Reference no: EM133121670

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