1. The Cinema Analytics Opportunity 1 Join the Data Revolution

2. Introductions 2 Joe Spurling, CDO Showtime Analytics Richie Power, CEO Showtime Analytics

3. 3 Why the Cinema Industry?

4. Industry Problem Statements Our View of the data challenges facing the Cinema Industry 4 Broken Value Chain All stakeholders from Distribution, Exhibition, Advertising & Suppliers all work as individual data silos, failing to see the wider collaborative opportunities Wrong Battles Fights between brands, Exhibition vs. Distribution all fail to recognise that the real threat is from other competing mediums such as: VOD, Online, TV, Streaming Monetization All stakeholders in the Cinema Industry struggle to understand their customer base. No ability to capture, analyze and ultimately monetize their data Data Explosion The number of data sources facing the industry continues to grow exponentially, causing the challenge of how best to collect, store & analyse all this information Technology Maturity The Cinema industry lags 3+ years behind other industries in the adoption of key data technologies, best practices & analytics methodologies Costs Costs of creating own in house analytics capability prohibit innovation, needing large spend across all areas: Hardware costs, Software costs & Skilled Resources

5. What is Big Data?

7. Legendary Hollywood screenwriter William Goldman said “Nobody, nobody – not now, not ever – knows the least goddamn thing about what is or isn’t going to work at the box office. He was speaking before the arrival of the internet and Big Data, and since then, the streaming movie and TV service Netflix has based its business model on attempting to prove him wrong.

8. NETFLIX BIG DATA SOURCES More than 25 million users About 30 million plays per day (and it tracks every time you rewind, fast forward and pause a movie) More than 2 billion hours of streaming video watched during the last three months of 2013 alone About 4 million ratings per day About 3 million searches per day Geo-location data Device information Time of day and week (it now can verify that users watch more TV shows during the week and more movies during the weekend) Metadata from third parties such as Nielsen Social media data from Facebook and Twitter

12. The Analytics Maturity Curve

13. 13 Improved Decision Making Perscriptive Analytics Ensure it happens Integrating data based decision making into business process, workflow & operational systems Operational Reporting What Happened? Using multiple siloes of historic list based report querys to manually review past performance Visual Analytics Why it Happened? Empowering the business owners to analyse their own data to intuitevly understand root cause & drivers of performance Predictive Analytics What will Happen? Blending internal & external data using analytics techniques to predict future performance

14. Industry Innovation Ranking 14 Improved Decision Making Perscriptive Analytics Ensure it happens Integrating data based decision making into business process, workflow & operational systems Operational Reporting What Happened? Using multiple silos of historic list based report querys to manually review past performance Visual Analytics Why it Happened? Empowering the business owners to analyse their own data to intuitively understand root cause & drivers of performance Predictive Analytics What will Happen? Blending internal & external data using analytics techniques to predict future performance

15. Where we see the Cinema Industry… 15 Improved Decision Making Perscriptive Analytics Ensure it happens Integrating data based decision making into business process, workflow & operational systems Operational Reporting What Happened? Using multiple siloes of historic list based report querys to manually review past performance Visual Analytics Why it Happened? Empowering the business owners to analyse their own data to intuitevly understand root cause & drivers of performance Predictive Analytics What will Happen? Blending internal & external data using analytics techniques to predict future performance

16. The Cinema Analytics Opportunity

17. Customer Journey – Data Mapping - Opportunities 17 1.Booking2. Awareness 3. Pre Sale 5. Pre Show Opportunity to pick the right product for the right locations at the right time, at the right price 4. Retail 6. Post Show Opportunity to listen to the market sentiment pre- release, to identify potential hits or flops & adjust booking strategy Opportunity to monitor & maximise customer buying behavior to maximise attendance & target new customers. Opportunity to maximise customer experience & retail spend through dynamic & personalsied offerings Opportunity to capture key information about your audience demographic, their engagement & behavior levels with content Opportunity to capture key data about user satisfaction with the venue, service & product

18. Where do you see yourself on the curve? 18 Improved Decision Making Perscriptive Analytics Ensure it happens Integrating data based decision making into business process, workflow & operational systems Operational Reporting What Happened? Using multiple siloes of historic list based report querys to manually review past performance Visual Analytics Why it Happened? Empowering the business owners to analyse their own data to intuitevly understand root cause & drivers of performance Predictive Analytics What will Happen? Blending internal & external data using analytic techniques to predict future performance

19. Contact Us If you’d like to know more about our Products and Services 19 email: richie@showtimeanalytics.comrichie@showtimeanalytics.com phone: +353 86 8386463 twitter: @RichPDE linkedIn: Richie Power website: http://www.showtimeanalytics.com email: joe@showtimeanalytics.comjoe@showtimeanalytics.com phone: +353 87 9819640 twitter: @Spunley linkedIn: Jolyon Spurling website: http://www.showtimeanalytics.com