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.
