Utilizing data and data science to optimize tune in

"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...

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Detalles Bibliográficos
Otros Autores: Leung, Diane, on-screen presenter (onscreen presenter)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : Data Science Salon 2019.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820449406719
Descripción
Sumario:"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."--Resource description page.
Notas:Title from resource description page (Safari, viewed November 2, 2020).
Descripción Física:1 online resource (1 streaming video file (19 min., 34 sec.)) : digital, sound, color