Delivering a Solution
CTP then delivered a minimum viable product (MVP) for the music analytics dashboard application.
This solution consisted of four components.
1. Music Analytics Dashboard – providing views into artist metrics and song lifecycles
2. Music Research Dashboard – combining historical data from multiple sources, ongoing
research and predictive metrics enabling local stations to collaborate, develop music sched-
ules and make better data-driven decisions in a single unified view
3. Serverless ETL pipeline – meshing data from disparate sources that, in turn, powers the
application
4. Cloud Search – enabling an easy form of navigation and discovery across the MusicLab user
interface
Staying Ahead of Trends
Determining which songs will be hits remains an inexact science. A “sound” that connects with a
particular audience one year may fall flat in coming years, forcing radio programmers to pivot with
new strategies. While these situations will continue to play out over time, radio executives are
working hard to analyze song cycle data so they can stay ahead of breaking trends. Using the cloud,
and leveraging better data ensures that stations are playing the songs their listeners want to hear.
SUMMER 2018 | THE DOPPLER | 11