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CASE STUDIES

Lebara Drives Operational Efficiency and Best-in-Class Customer Engagement

January 30, 2025

Key Results

5,000+

Estimated person hours saved annually

15%

Growth in new customer acquisition due to data-driven marketing campaigns

The Challenge

Drowning in Data, Starving for Insights

Three years ago, Lebara found itself at a crossroads. Despite being in the telecommunications business for over two decades, the company was struggling to harness the true power of its
data. The challenges they faced included:

  • Manual Data Validation: Teams spent countless hours manually checking data quality, often finding issues only after they reached downstream business users.
  • Lack of Trust: Business leaders were hesitant to rely on data, often reverting to gut feeling for critical decisions.
  • Reactive Problem-Solving: The data team was constantly putting out fires, with little time for strategic initiatives.
  • Limited Scalability: As data volumes grew, manual processes simply couldn’t keep up.

The Solution

Embracing Automation and AI to Drive Trust in Data

Recognizing the need for a complete overhaul, Lebara embarked on an ambitious data transformation journey.

Their strategy focused on three key pillars:

  • Modernizing Infrastructure: Moving from on-premises systems to a cloud-based Databricks architecture.
  • Leveraging AI and ML: Implementing machine learning models to drive personalized customer interactions.
  • Automating Data Quality: Partnering with Anomalo to automate data quality monitoring at scale.

The Results

A Data Quality Success Story

The impact of Lebara’s data quality journey has been remarkable:

  • Proactive Issue Detection: An estimated 80% of data issues are now caught before they impact the business.
  • Efficiency Gains: Time spent on data quality issues dropped from roughly 70% to less than 30% of the data
    team’s workload.
  • Improved Customer Experience: AI-driven communications, powered by high-quality data, now account for over 80% of customer interactions.
  • Faster Resolution: Root cause analysis time reduced from days to minutes.
  • Increased Data Trust: Business leaders now confidently make data-driven decisions, knowing the underlying data is reliable.
“We realized that without a solid foundation of data quality, our other initiatives would falter. That’s why automating data quality became a cornerstone of our transformation.”
Matt Crawley
Chief Data Officer
Unlock the full case study to see how Lebara saves 5k person-hours and sees 15% growth in customer acquisition with improved data quality