Module

Data landscape, quality and metrics

Covers mapping media data sources, reconciling conflicting numbers, running quality audits and benchmarking standard metrics.

5 lessons • 750 XP available

Lessons

1
Mapping the media data landscape: sources, silos and standard datasets

Map media data sources, silos and standard datasets.

+150 XP
2
Why your viewership numbers disagree: reconciling panels, census and self-reported data

Reconcile panel, census and self-reported viewership numbers.

+150 XP
3
Data quality audits: catching bots, duplicate IDs and broken pipelines before they skew decisions

Catch bots, duplicate IDs and broken pipelines before decisions.

+150 XP
4
Metadata as infrastructure: how tagging and content taxonomies determine what gets measured

Use metadata and taxonomies to control what gets measured.

+150 XP
5
Benchmarking what 'good' looks like: industry-standard metrics for reach, retention and content performance

Benchmark reach, retention and content performance against industry standards.

+150 XP