Anomalo
Automating Data Quality for Enterprise: Lessons from Lebara’s Journey
Summary
Lebara, a leading European mobile network operator, transformed its data quality approach through automation and AI, resulting in operational efficiency and improved customer engagement.
Value Drivers
Challenges
- Manual data validation leading to inefficiencies
- Lack of real-time visibility into operations
- Difficulty in scaling current infrastructure
- High operational costs due to legacy systems
3 more challenges available
Solutions
- Modernizing infrastructure by moving to a cloud-based Databricks architecture
- Deployed real-time monitoring and analytics platform
- Migrated to cloud-based scalable infrastructure
2 more solutions available
Outcomes
- Proactive detection of 80% of data issues before business impact
- Achieved 24/7 real-time visibility and monitoring
- Successfully scaled operations to support 3x growth
- Decreased operational costs by 40% annually
3 more outcomes available
Products
Software
Anomalo
AI-powered data quality monitoring solution
Sample Category
Sample Product 2
Sample product description for demonstration purposes.
1 more products available
Target Organization
Lebara
Description: A leading European mobile network operator
Industry:Telecommunications