Join Barton Poulson for an in-depth discussion in this video Next steps, part of The Data Science of Media and Entertainment with Barton Poulson.
- [Instructor] Now that we've discussed some…of the ways that data science can be used…in media and entertainment, your job is…to start exploring.…See how you can apply this information…to the problems and the challenges…you're facing in your own organization.…Start by looking at what are your goals.…What is your organization trying to accomplish?…Because the goals are going to be the foundation…for things like optimization and programming decisions.…Also see what data do you have.…
What's available to you that you can use…to help guide some of your decisions?…In the process make sure you get to know…your audience because this is about creating…the relationship with your audience.…And you want to shape your message, your product,…and the entire way you connect with them…to build on that relationship.…In doing so, you can support interactions,…and this is wonderful thing because through social media,…you have the opportunity to interact directly…with your audience more than ever before.…
The next step is to start looking at some…
This course is a nontechnical overview that helps creative organizations use the principles of data science in practical ways. It's required viewing for those working in media, but is also appealing to anyone interested in how technology affects the world around us. Learn how to use data science to assess your target audience, optimize pricing and scheduling for events and digital products, identify piracy, protect your intellectual property, reward employees, and maximize your ROI. Incorporating some simple analytics can lead to broader audiences and richer experiences for your next creative endeavor.
- Assessing the audience for performing art and live digital media
- Optimizing prices for products and performances
- Splitting limited time, money, and staffing among different outreach and sales efforts
- Honoring the requirements of government grants and private donors
- Maximizing the social nature of live events like concerts and performances
- Using competitive and predictive analytics to schedule performances for greatest audience reach and potential revenue
- Understanding how data science can identify piracy and reduce lost revenue
- Incentivizing and rewarding staff and performers without incurring additional costs