How a Telecom Giant Accelerated Analytics at Scale

About the Customer

A Canadian telecom leader powering connectivity for millions of customers

One of Canada’s largest telecommunications providers, the company provides mobile, internet, TV, and enterprise network services to over 22 million customers nationwide. With significant investments in world-class fiber and wireless networks, as well as cloud-based and AI-powered solutions, it delivers innovative solutions to consumers as well as businesses.

Challenges

The telecom giant with 10,000+ employees across various departments faced major roadblocks in its analytics journey.

Cross-departmental disconnects: The data collected by different departments such as marketing, finance product development and others was disconnected, making cross-functional analysis difficult.

Timeouts on massive data volumes: Transferring billions of rows of raw data from their data lake to Strategy for computations often caused the application to time out.

Heavy data-modeling overheads: Building data models on Strategy consumed nearly 50% of platform resources, leading to high costs and delayed insights.

Inconsistent response times: Queries on Strategy were unpredictable, with response times varying widely and affecting user experience.

Limited scalability for growing business needs: The existing system could not accommodate additional dimensions and measures in reports without impacting performance.

Business Goals

Enterprise-wide analytics at scale with faster performance and lower costs

The telecom leader wanted to overcome Strategy’s performance and scalability limitations while maximizing the value of their data lake investments. They were looking to:

Get sub-second query responses on billions of rows at reduced costs.

Scale analytics for 10K+ employees across multiple departments.

Support cross-functional analytics through a single source of truth.

Build and refresh data models faster to meet growing business needs.

Provide flexibility to access insights across BI tools.

How Kyvos helped

Enabled instant query responses on massive data volumes

Kyvos modernized the company’s analytics ecosystem by eliminating data modeling bottlenecks and enabling seamless, sub-second querying across billions of rows.

Eliminated heavy resource usage on Strategy
Optimized usage of compute resources with Kyvos’ AI-powered smart aggregation technology.

Accelerated data model refreshes
Delivered fast, incremental model refreshes, cutting update times from 30 minutes to a few seconds.

Unified analytics across departments
Created a unified view with semantic layer that empowered 10K+ employees across teams to work off the same consistent data.

Seamless connectivity with existing tools
Enabled users to query and visualize data directly through Strategy, Tableau and Excel without performance trade-offs.