Data Quality & Cross-System Hierarchical Consistency

Customer, billing account, and GSM number relationships were managed across multiple telecom systems including CRM, billing, and charging platforms, creating inconsistencies in both entities and hierarchical structures. These anomalies caused operational challenges such as incorrect billing flows, service access issues, revenue leakage risks, and increased customer complaints. Inconsistencies in entity relationships were negatively impacting business outcomes. For consumer customers, these data quality issues contributed to increasing churn rates driven by service and billing-related dissatisfaction. For corporate customers, hierarchy and ownership mismatches created higher risks of contractual penalties and operational escalations. Collectively, these challenges adversely affected the telecom operator’s ability to achieve business targets, maintain operational efficiency, and execute strategic planning effectively. Establishing a centralized, trusted, and governed data structure across all core systems therefore became a critical business need.

Using CRM as the master reference system, we designed and implemented a comprehensive Data Quality & Data Governance framework to validate both entity consistency and hierarchical relationships between customers, billing accounts, and GSM numbers across billing and charging systems. Rule sets were developed within the governance platform, where cross-system comparisons and relationship validations were executed through SQL and PL/SQL-based controls. These controls continuously analyzed customer structures, detected anomalies, and identified mismatches between systems. Detected data quality issues were shared with the relevant operational teams for root cause analysis and corrective action planning. In parallel, monitoring mechanisms were established to track remediation progress and ensure long-term data consistency across systems. This approach enabled data quality management to evolve from reactive operational checks into a sustainable governance capability.

The implementation resulted in a measurable reduction in data inconsistencies affecting customer operations and end-to-end service continuity across CRM, billing, and charging systems. This improvement enabled more accurate identification and resolution of billing account and GSM-level mismatches, reducing dependency on manual reconciliation efforts within operational teams. From a customer perspective, service reliability improved and complaint volumes related to billing and account ownership issues decreased. From an enterprise data perspective, a centralized and governed customer data layer was established, strengthening data consistency across systems, improving revenue assurance controls, and enhancing the reliability of enterprise reporting and downstream decision-making processes.