Utilizing Data and Data Science to Optimize Tune In / Salon, Data

Author: Salon, Data
Published: [Erscheinungsort nicht ermittelbar] : Data Science Salon, 2019.
Boston, MA : Safari
Edition: 1st edition.
Physical Description: 1 online resource (1 video file, approximately 20 min.)
Additional Creators: Safari, an O'Reilly Media Company

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Summary: Presented by Diane Leung, Principal, Analytics Innovation at Altman Vilandrie & Company Measuring and optimizing tune-in is critically important for the media and entertainment industries. This discussion focuses on best practices for utilizing data and machine learning to optimize tune-in on national linear inventory. In order to do this properly, advertisers need to unify their marketing ecosystem, design a holistic measurement approach, and break down barriers for closed-loop, incremental measurement. In this session you will learn how to: 1) Create a framework for utilizing data and machine learning to maximize tune-in and 2) Overcome analytical obstacles created from fragmented and incomplete data.
Note: Online resource; Title from title screen (viewed September 10, 2019).

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