White Paper:
Realizing True Data Integrity Through Automated Discrepancy Management
When service providers rely on multiple, overlapping databases, each with its own local view of the network, discrepancies are inevitable and operations suffer. Consequences can include stranded assets, revenue leakage, fraud, high provisioning fallout, poor troubleshooting, and customer frustration. This paper discusses a data integrity management strategy that benefits the entire operational continuum. Its essential starting point is a centralized inventory or "database of record;" its innovative end point is an automated approach to discrepancy identification, resolution, and prevention, leading to true data integrity.