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Synthetic data for telcos

Increase customer understanding, test products, populate databases, reduce operational costs, create new revenue streams, and unlock data for all AI and analytics projects!
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85%
More customer data for analytics
15%
Improvement in AI performance
0.5%
Reduction in churn rate

Why do telcos need synthetic data alternatives?

Telecommunications companies are facing multiple challenges these days. Decreasing revenues, tightening regulations, shifting consumer expectations, and there is an increasing demand for seamless data sharing. Regulators are tightening their grip on the sector and what was once standard industry practice is no longer acceptable. This materializes in recent fines hitting the industry, like Vodafone Spain’s record $9.72 million GDPR-fine.

How can synthetic data help telcos?

Synthetic data can provide an easy to access, fully GDPR-compliant data alternative. Synthetic data is ready to monetize and leverage in AIOps, analytics, and product development. Operational costs can be reduced, and new revenue streams can be created.

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Unlocking CRM with Telefónica case study

To become truly customer-centric, telecom companies need advanced data analytics and high-quality data. However, due to the lack of customer consent, most of the CRM data is locked away. Synthetic data versions of customer data can bridge this gap in a privacy-compliant way.

This case study tells the story of how Telefónica unlocked their existing CRM datasets via synthetization.

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Data ethics best practices from Nicolas Passadelis, Head of Data Governance at Swisscom
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