About the client
The client is a global music giant, dominating the recorded music, music publishing, and merchandising markets. As one of the most prominent “BIG 4” record labels, they have a significant market share and a vast portfolio of subsidiaries.
Client challenges
- The client faced difficulty in forecasting daily, weekly, and monthly sales by sourcing data from multiple sources through an on-premise IT infrastructure and traditional BI technology stack.
- They needed a reliable data management system to forecast their sales accurately, as it took considerable effort to curate, model, and interpret data from around the company
- The client experienced data inaccuracies and wanted it to be analyzed, extracted, and transformed and then to be loaded as comprehensible, cleansed data.
Solution
- LevelShift migrated their on-premises data to Azure data warehouse, centralizing their data management and modernizing their legacy intranet applications with Power Apps.
- Data integration, transformation, and reporting were built using AWS, Redshift, SQL server, and iOS.
- We enabled faster data access to build ad hoc reports and gain actionable insights by migrating siloed datasets into a central data store.
- Facilitate better visualization and data analysis using Power BI, thereby improving their decision-making and operational efficiency.
- Leveraged APIs to integrate data from multiple sources, including Apple Music Store, Spotify, Billboard, Amazon, Shazam, Vevo, Yahoo, YouTube, Hype Machine, Vh1, Google Play, and All Music using Boomi.
Benefits
- Eliminated data redundancy increased productivity by integrating data from multiple streaming services into a single repository.
- Improved sales by identifying emerging trends and patterns in customer behavior using Power BI.
- Improved data quality and consistency, leading to better decision-making and more effective marketing campaigns.
- Increased sales opportunities by uncovering new market segments, potential competition, and consumer needs.