Case Studies - Unified Ecommerce Analytics
Unified Ecommerce Analytics
Unified legacy and modern ecommerce data into a single analytics layer to support pricing and performance decisions.
Key Takeaways:
Visibility: Improved first-time visibility by linking subscriber characteristics with viewership metrics like hours watched.
Operational Velocity: Delivered reports in minutes, not days, allowing product leadership to independently explore engagement data.
System Alignment: Successfully modeled and joined large-scale viewership data via optimized SQL pipelines.
Centralized BI Pipeline Unifies Fragmented Data for Executive Intelligence
Operating with fragmented data across disparate devices and platforms delays critical business reviews and compromises performance visibility. A centralized analytics layer bridges the gap between raw data and evidence-based decision-making.
Fragmented Data Constraining Decision-Making
A leading streaming platform struggled to extract actionable insights from highly granular data, making it difficult to analyze customer engagement across different devices. The one-size-fits-all approach to campaigns was underperforming due to a lack of detailed user behavior reporting.
Cloud-Native Pipeline with Metric Normalization
Supported by our Centers of Excellence, we engineered an interactive dashboard integrated into the senior leadership's regular review process.
- Technical Components:
- Ingestion Logic: Processed large-scale viewership and subscription data into a centralized storage pipeline.
- Transformation Layers: Utilized optimized SQL (CTEs) for cleaning and modeling data to ensure accurate dynamic slicing by device and plan type.
- Daily Updates: Enabled the marketing team to continuously refine strategies based on daily automated data updates.