Data in media
media data: engagement and consumption data, recommendation and content analytics, ad targeting and measurement, and privacy.
Media and entertainment runs on audience data: viewing behavior, engagement signals, rights metadata, and monetization events across streaming, broadcast, gaming, and music platforms. This block builds fluency in the data that actually drives decisions in this sector, from content performance metrics to advertising measurement to subscriber analytics, while grounding you in the quality standards and governance frameworks that keep this data trustworthy and compliant. You will learn to distinguish vanity metrics from decision-grade data, evaluate the datasets and panels that underpin industry benchmarks, and understand the privacy rules unique to consumer media consumption. The goal is practical fluency: knowing which data sources matter, how to judge their reliability, and what checks protect against costly governance failures.
What you'll master
- Identify and evaluate the core data sources and panels used for audience measurement, content performance, and rights tracking in media and entertainment
- Assess data quality issues specific to streaming, broadcast, and engagement datasets, including deduplication, latency, and panel representativeness
- Apply sector-specific analytics benchmarks to interpret viewership, engagement, and monetization metrics correctly
- Design practical governance checks and audits to ensure compliance with media-sector privacy rules and licensing data obligations