Modern Data Platform Enables Unified Consumer Insights
Industry: Media & Entertainment
Client Segment/Division: Technologies
Delivery Model & Specialty Area: Integrated Teams | Data and Analytics
Date Range: November 2025 --> May 2026
Client Challenge:
The client, an entertainment company, operated with data distributed across multiple systems, limiting the ability to build a consistent view of consumers and fully leverage insights. Fragmented systems constrained how data could be connected, shared, and scaled across the business. The client needed to consolidate data into a single platform, strengthen system integration, migrate key datasets to a modern, scalable environment, and accelerate delivery. In parallel, internal teams needed to be positioned for long-term ownership of the platform. Without a unified foundation, the client faced continued constraints on data consistency, delivery speed, and the ability to activate consumer insights at scale.
BH Approach:
Beacon Hill partnered with the client to design and deliver a modern data platform, embedded within the client's existing team and aligned with their standards and processes.
- Built a centralized data platform in Databricks as a scalable foundation for consumer data.
- Developed automated data pipelines to reliably process, update, and manage data at scale.
- Connected Databricks, Snowflake, and BigQuery to enable seamless data access and sharing.
- Operated as an embedded team, aligning delivery to established client standards and processes.
- Provided documentation and knowledge transfer to prepare internal teams for long-term ownership.
Results:
- Launched a production-ready data platform supporting reliable consumer data processing, including four core consumer pipelines delivered and validated with end-to-end production readiness.
- Improved data quality and consistency through standardized, automated processes, supported by a 100% Change Data-Capture enabled consumer data architecture that improves scalability, reliability, and future onboarding capabilities.
- Enabled easier data access across teams and tools, reducing data silos, with 5+ platform integrations enabled across Databricks, Snowflake, BigQuery, S3, and proprietary client ecosystems.
- Established a sustainable operating model through documentation and knowledge transfer.
Strategic Impact:
The client is positioned with a modern, scalable data foundation and the internal capability to sustain and evolve it over time. This supports more consistent consumer insights and reduces reliance on fragmented legacy systems.
