Turn Data into Business Value

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1 Turn Data into Business Value Infinite Video Platform Analytics Layne Berg, Product Manager Steve Epstein, Distinguished Engineer June 21, 2017

2 Applying Big Data Analytics to Video

3 Today, primarily descriptive analytics Evolving Use of Analytics in Pay TV Recommendations and targeted advertising are exceptions In existing deployments, analytics apps typically require dedicated, heavy development and integration efforts Demand for high-value predictive analytics is growing! (Netflix, YouTube, Amazon)

4 Leading Online Players are Analytics Native Data-based insights grow customer loyalty by driving intelligent content choices, personalized experiences, recommendations We live and breathe the customer - Reed Hastings, Netflix CEO Source: Satmetrix US Consumer Net Promoter study

5 Foundation for Success: Unified Platform and Data Lake Video Analytics Applications Operational analytics Business analytics Anti-piracy Personalization S td APIs Plugins Video Data Lake Single instance of secure, curated data for all Pay TV applications Common data workflows Common data governance and policies Big Data Platform Orchestration, management, monitoring Generic application services Standard open source APIs

6 Common Data Lake High-Level Architecture Data Collection Data Transformation Data Applications Formatted Data Catalog Descriptive Apps Data Sources Formatted Data Ingest Common Data Lake SQL APIs Formatted Data Workflows Predictive Apps

7 Fundamental Big Data Technologies Ingest Amazon Kinesis or Kafka Storage File tolerant file storage: Amazon S3 or HDFS Catalog of data in data lake: Hive Engine & Workflows Predictive analytics and ETL: Spark Operational analytics: Elastic Search Applications Descriptive dashboards (on top of Elastic Search): Kibana Predictive applications: Tableau

8 Recipe for Innovation and Agility in Video Analytics PP PP PP Content Monetization Organic UX Media Sharing Protection Cloud DVR Storage Optimization Outage Remedy PP Streaming Piracy Source Identification Video Quality Awareness PP Business Insights Public Use of Private Account Detection PP Operations Unified Platform + Rich Common Data Data Science Expertise + Video and IP Expertise PP Cisco Patent pending

9 Infinite Video Platform Analytics

10 Analytics at the Core of Infinite Video Platform Content First IP First Device First Enhancing content delivery decisions and QoE Optimizing video delivery over IP; collecting massive data Providing business insights for service creation across devices Video Provider Cisco Infinite Video Platform Infrastructure Operations Service Operations Business Operations Linear Video On-demand Video Cloud DVR Content Discovery Metadata Services Business Services Processing Services Security Services Consumer Applications Analytics

11 Boost Your Business with Analytics Engage Your Audiences Optimize Your Operations Protect Your Offering Monetize Your Assets Deliver outstanding quality of experience by giving subscribers premium personalized video content, services and support Improve service performance and reduce costs by enhancing operational resource usage based on intelligence Increase video service security by detecting and preventing varied forms of piracy Identify new opportunities with existing and potential subscribers leveraging data and business insights

12 Turn Data Into Business Value Engage Optimize Protect Monetize High value applications Leveraging video and network domain expertise, common data lake Content Monetization Streaming Piracy Source Identification Organic UX Video Quality Awareness Media Sharing Protection Business Insights Cloud DVR Storage Optimization Public Use of Private Account Detection Outage Remedy Operations API Advanced analytics platform Leveraging robust, secure cloud platform and big data analytics capabilities Data aggregation Data normalization Data enrichment Common Data Lake Big data processing Predictive analysis Visualization Rich source data Multiple sources: Infinite Video Platform, infrastructure, and external sources Infrastructure Storage Video Processing Infinite Video Platform Linear Schedule Content Metadata UX Actions Identity External sources Weather.com Yellow Pages Network Utilization Viewing History Search History MaxMind Device Connectivity Licenses Offers Currency Translation

13 Gain More Value, Faster Develop better apps using available rich data and platform From idea to app in less time, at lower cost Extra value With Infinite Video Platform Analytics Discovery 3-4 Weeks Exploration 3-4 Weeks Production Without Infinite Video Platform Analytics Data Discovery 4 Months Data Exploration 2 Months Production

14 Poll Question

15 Use Case Example: Content Monetization

16 New KPIs for Measuring Success Measurement Content Value Analysis Personalized Placement Content Merchandizing

17 Maximize Content Value with Infinite Video Platform Content Library Content Value Analysis Content Merchandizing Personalized Placement Metadata Services IVP Analytics Media Suite Merchandiser IVP UX 3 rd Party Data (Social, Geographic, etc..) Real-time Feedback

18 Feature Building Raw Data Sources and Flow Genre, release year, MPAA rating, duration, budget, language, producer IVP Logs Movie Title Prog Gracenote Movie ID Movie URL Google / Dtls Alexa Web traffic # queries Times Channel Device type Position Social Movie ID Celeb Person ID Cast, director, writer FB page ID Twitter ID IMDb ID RT movie URL Review Sites Facebook Twitter IMDb Rotten Tomatoes Comments Rating, likes, comments

19 Content Analysis in Action Data Sources Content Metadata Viewership Measurement Movie Rating Metadata Social Media Trends

20 Content Analysis in Action Results Target Viewing Hours Project Revenue Potential Rank Against Other Assets

21 Configurable Promotion Placement with Infinite Video Platform UX Hub/Store Placement Filter/Store Placement Editorial recommendations Promotional recommendations 12 placement opportunities (STB) Editorial recommendations Promotional recommendations (personalized) 12 placement opportunities (STB)

22 For IP-powered video businesses, analytics is table stakes Summary Get the foundation to quickly turn ideas into analytics apps Use machine learning, data science for high value applications Analytics is a core part of Infinite Video Platform

23 Layne Berg: Steve Epstein:

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