Win the Streaming War: Predictive Viewership Analytics on Trillion Records

Presented by

Ajay Anand, Chief Product Officer | Anand Raman, Sr. Vice President

About this talk

Every major player in the media and entertainment industry is rethinking its content strategy to gain market share and increase customer loyalty by delivering engaging, diverse, and personalized content. With billions of records getting generated daily, these companies are struggling to analyze the most-viewed content and identify trends in viewership by tying content to different customer segments. The spike in usage means you have to work through much wider data, deeper than ever before. Traditional data warehouses cannot scale to accommodate this growing viewership data and deliver the desired BI performance. Join our webinar to learn how Kyvos builds a BI acceleration layer on top of your cloud or on-premise data lake and lets you analyze trillions of data points in seconds using your existing BI and data science tools. You’ll also learn from real-life use case of the world’s leading global content provider, that is using Kyvos to: - Understand viewership behavior, patterns, trends, churn - Deliver accurate recommendations to millions of customers based on their history and preferences - Predict which content will work better vs. others through intersections of metrics - Negotiate smartly with advertisers and networks as per viewership demographics

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Kyvos is the world’s most powerful BI acceleration platform that delivers instant insights on trillions of rows of data, both on the cloud and on-premise data lakes. Our breakthrough OLAP technology revolutionizes analytics by enabling users to visualize, explore, and analyze massive volumes of data with sub-second response times. With the mission to transform businesses through innovations in analytics, we enable enterprises to make faster and more accurate decisions. Headquartered in Los Gatos, California, Kyvos Insights was formed by a team of veterans from Yahoo!, Impetus and Intellicus Technologies.