Dynamic analytics for enhanced business decision making in the entertainment industry

July 2014
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Dynamic analytics for enhanced business decision making in the entertainment industry

At a glance

Analytics are used increasingly throughout the Entertainment and Media (E&M) industry. This paper presents a proposed structure for a successful analytics project and focuses on simulation modeling.

Analytics are used increasingly throughout the Entertainment and Media (E&M) industry. In fact, companies that have extensively implemented analytics have used it as a differentiator and are three times as likely to outperform their competitors.

This publication briefly explores the range of analytical techniques available today, presents a proposed structure for a successful analytics project, and focuses on simulation modeling as an effective tool to address E&M macro strategic decisions. The paper provides two case study examples:

  • Feature Film Lifecycle Simulation which illustrates how simulation is used to forecast and optimize the revenues generated by movies across the full spectrum of release windows.
  • Television Content Value Simulation which uses a holistic approach to simulation modeling to provide a comparative value for series-level television programming scenarios.

Simulation modeling provides a powerful tool for representing the non-linear, dynamic relationships that are fundamental to the industry and not captured by traditional approaches. Leveraging simulation in the entertainment sector can be a differentiator as it more realistically adapts to change and captures the complexity of the industry to better inform decision making and reduce risk.