Case Study : Network Data Standardization
Client: Top US MNO
Business Problem:
Inconsistent and non-standardized data content in the Inventory System causing multiple business revenue and cost
efficiency issues for the MSO Enterprise Services organization:
- Inaccurate reports on customer services, network assets utilization and service volumes
- Service provisioning delays due to inaccurate network design requiring costly and time consuming order reprocessing
- Delays in customer service activation increasing Time-to-Revenue
- Under-utilized network assets resulting in unnecessary capital expenditure
- Impeding multiple process automation and efficiency initiatives
Multiple mergers/acquisitions significantly increasing quantity of similar but non-standardized data
Newly created data standards applied only to new data records
NICE software platform was deployed to correct Inventory System data based on
organization’s data standards and to continuously monitor and correct new
data records
- 600+ data standardization rules were implemented in four stages using MySQL and Python scripts
- Over 250,000 service records for 16 service types were analyzed and corrected for data completeness and standardization
- NICE data standardization and correction Tasks are invoked through APIs by provisioning system to scan and correct Service Orders prior to processing to reduce fallouts
Benefits:
- Automation reduced Order Design and Activation costs by over $1.25 million per year
- Customer Installation & Turnup failures reduced by 25%
- Order reprocessing & Service Provision Activation due to inaccurate design were reduced by 33%