Case Study: Entel (leading Chile & Peru telecom) achieves 80% reduction in MTTR and 95% operational visibility with Elastic

A Elastic Case Study

Preview of the Entel Case Study

Turning to Elastic to unify multinational observability with 360-degree vision

Entel, the leading telecommunications operator in Chile with rapidly growing operations in Peru, faced fragmented teams, legacy monitoring tools, and strict data-ingest limits that constrained visibility, slowed incident response, and hampered its digital transformation and go-to-market agility across both countries.

By standardizing on the Elastic Stack (with machine learning and Elastic Cloud support) and building centralized Kibana-powered monitoring, Entel gained 24/7, 95% visibility into operations, reduced mean time to resolution by 80%, and unlocked the data needed to identify high-value sales channels—helping add 1.27 million prepaid customers in 2019—while giving executives real-time business and operational analytics and a roadmap to scale on Elastic Cloud.


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Entel

Oscar Narváez

Tools & Analytic Monitoring Team Leader


Elastic

349 Case Studies