Case Study |
Media & Entertainment | Telecommunications
Designing and Building a Robust ML Framework on GCP to Improve Forecasting and Enhance Business Results
About the Client:
The Client is a Dutch American Music Corporation and one of the leading record labels in the world.
Challenge:
The client was looking to gain deeper insights into the performance of its artists by harnessing available data across various platforms, aiming to enhance its understanding of success and identify potential areas for improvement.
The customer sought to leverage the power of data analysis to predict merchandise sales for the upcoming months, enabling them to streamline operations, enhance operational efficiencies, and optimize supply chain costs.
The client also wanted a comprehensive analysis of the artists’ performance, primarily focusing on social media engagement data and fan metrics. By scrutinizing the artists’ presence on social media platforms and examining the level of interaction and engagement, the customer aimed to gain valuable insights into the popularity and influence of each artist. Subsequently, they would develop key performance indicators (KPIs) that would serve as benchmarks for assessing success and prioritizing business efforts accordingly.
