Data Analytics

Simulation Overview

Organizations of all sizes use data from operations and from customer & supplier interactions to improve their strategic and tactical decisions. In this simulation, learners manipulate and analyze market data and performance measurement outcomes. Then, participants employ these descriptive and predictive analytics to inform internal decisions within a consumer products company.

Time Requirement

• Introduction - 15 minutes
• Game Play - 45 minutes to 1 hour
• Debrief - 45 minutes to 1 hour

The Story

In the Data Analytics simulation, the learners play the role of a product marketing manager for a brand of laundry detergent at a large consumer products firm. The participants explore several years of existing data and formulate a marketing strategy. Next, they execute that strategy by making decisions about product pricing, target markets, inventory levels, and allocations of marketing and media spending over several simulated years. The learners who make extensive use of the data and analytics to make their decisions will be more successful in sales, profit, and market share growth.

This simulation is a single-player and can be played asynchronously.

Learning Focus

• Explore underlying factors and segments in data to develop a coherent marketing approach
• Iteratively analyze and understand data
• Recognize that predictions and forecasts are based on probabilistic assumptions

Topics Covered

• Analytics
• Decision Analysis and Decision Making
• Improving Performance
• Market Analysis and Marketing Strategy
• Product Management

Each simulation comes with a Teaching Guidebook for the facilitator along with 1:1 facilitator training and free trials.

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This simulation is by Tom Davenport, Harvard Business School Publishing, and Forio