Project Overview
Data Modelling. We implemented a standardized Silver Layer and Unified Data Model to normalize raw data into high-quality, business-aligned entities.
Data Modelling. We implemented a standardized Silver Layer and Unified Data Model to normalize raw data into high-quality, business-aligned entities.
The Challenge
Fragmented data sources and inconsistent entity relationships hindered cross-domain integration and accurate data lineage tracking.
Fragmented data sources and inconsistent entity relationships hindered cross-domain integration and accurate data lineage tracking.
The Solution
We established Canonical Relationship Modeling between core entities like Party and Product while incorporating temporal logic for full historization and traceability.
We established Canonical Relationship Modeling between core entities like Party and Product while incorporating temporal logic for full historization and traceability.
The Result
The project created a unified data foundation that provides deep lifecycle insights and a scalable bridge for moving from raw data to actionable Gold Layer analytics.
The project created a unified data foundation that provides deep lifecycle insights and a scalable bridge for moving from raw data to actionable Gold Layer analytics.
About
XLSMART is Indonesia’s integrated telecommunications leader, formed through the merger of XL Axiata and Smartfren, dedicated to driving national digitalization through converged connectivity, cloud computing, and innovative IoT solutions.
The Business Challenges
- Data Fragmentation: Inconsistent naming and conflicting definitions across siloed source systems (Mobile, Finance, Network), leading to poor data quality.
- Lack of Historization: Absence of temporal tracking, making it impossible to analyze lifecycle changes or perform accurate audit reconciliations.
- Inflexible Granularity: Raw data lacked the standardized, atomic-level structure needed to build reliable cross-domain KPIs or enterprise-wide analytics.
Sibernetik Solutions
Silver Layer Standardization: Implementing a Unified Data Model (UDM) to normalize and harmonize raw data into consistent, business-aligned entities.
Canonical Relationship Modeling: Establishing clear associations between core entities (Party, Product, Arrangement) to ensure seamless cross-domain integration.
Temporal & Traceability Logic: Incorporating effective dating and source system identifiers to support full historization and data lineage tracking.
The Business Benefits
- Unified Data Foundation: Created a "Single Source of Truth" that ensures all downstream analytics are built on consistent, governed, and high-quality data.
- Enhanced Lifecycle Insights: Enabled real-time tracking of arrangement and party status changes for deep trend and KPI analysis.
- Scalable Business Intelligence: Reduced the complexity of moving from raw data to actionable insights by providing a structured foundation for the Gold Layer.
