Enterprise AI Administration
Subscriber usage daily
Data Grain Details · Data Grain & Transformations
Data Grain Details
Subscriber usage daily
PASSED
- Code
GR-SUB-DAY- Owner
- Head of Data Engineering
Governance configuration shown for review and validation. Read-only.
Details
- Grain
- Subscriber-day
- Business keys
- subscriber_id, date
- Dimensions
- Time; Subscriber; Region; Plan
- Refresh cadence
- Daily
- Transformation summary
- CDR rating and deduplication
- Aggregation rule
- Sum usage, count sessions
- Downstream consumers
- Churn Propensity Model; Variables
- Quality status
- PASSED
Related Intelligence
Linked governed records
Source mappings (5)
Variables created (9)
Downstream KPIs (4)
Models using this grain (9)
- Churn Propensity Model · XGBoost
- NPS Driver Model · Elastic Net Regression (benchmark: Multiple Linear Regression)
- Customer Experience Segmentation Model · K-Means (benchmark: Agglomerative Hierarchical Clustering)
- ARPU Uplift Model · XGBoost
- Subscriber Behavioral Segmentation Model · K-Means
- Usage Pattern Segmentation Model · K-Means
- Fraud Risk Classifier · XGBoost
- Revenue Leakage Detection Model · Isolation Forest + Business Rules
- Fraud Pattern Discovery Model · DBSCAN