OmniSci > Case Studies > Leveraging IoT for Enhanced Network Analytics: A Case Study on TELUS and HEAVY.AI

Leveraging IoT for Enhanced Network Analytics: A Case Study on TELUS and HEAVY.AI

Technology Category

Networks & Connectivity - WiFi

Applicable Industries

Cement
Telecommunications

The Customer

Telus Communications

About The Customer

TELUS is a leading telecommunications company that offers a wide range of products and services including data, IP, voice, television, entertainment, and video. The company is constantly seeking ways to improve its services and stay ahead of the competition. To do this, TELUS needs to understand its customer base, identify potential upsell opportunities, and know where wireline and wireless high-speed internet adoption are low. The company also needs to keep track of competitor coverage and decide where to build new wireless services. To achieve these objectives, TELUS turned to HEAVY.AI for an advanced analytics solution.

The Challenge

TELUS, a leading telecommunications company, was faced with the challenge of interactively exploring complex network datasets without experiencing lag. The company needed a comprehensive mapping of TELUS communities and competitor speed information to better understand the market dynamics. Identifying competitor coverage and deciding where to build wireless services was another significant challenge. Each of TELUS’s high-speed services has its own coverage layers, qualification criteria, and competitive restrictions. TELUS Marketing needed to know where they could deploy each service, the targeting potential, and where competitors offer similar services. They required an advanced analytics solution that quickly shows their customer base, potential upsell opportunities, and where wireline and wireless high-speed internet adoption are low.

The Solution

TELUS turned to HEAVY.AI to address these challenges. HEAVY.AI's capabilities allowed TELUS to easily access and overlay network reliability data, customer trouble metrics, and various geotemporal datasets. This enabled marketers to monitor a real-time, interactive map of TELUS’s communities, competitor speed and cell site information, WHSIA and LTE coverage layers, household reference data, copper qualification, fiber eligibility, and marketable base. The ability to access millions of records per second accelerated the isolation of aggravating network events that negatively impact the customer experience. The immersive, interactive visualizations of TELUS’s customer data dramatically expanded the ability to find previously hidden upsell opportunities. Interactive querying, filtering, and visualizing multi-sourced geotemporal data made the identification of competitor coverage and the most profitable locations to build wireless services faster.

Operational Impact

The use of HEAVY.AI's advanced analytics solution has resulted in several operational benefits for TELUS. The ability to access millions of records per second has accelerated the isolation of network events that negatively impact the customer experience, leading to quicker resolution of issues and improved customer satisfaction. The interactive visualizations of customer data have expanded TELUS's ability to identify previously hidden upsell opportunities, leading to increased revenue. The real-time, interactive map of TELUS’s communities, competitor speed and cell site information, and other geotemporal data has made the identification of competitor coverage and the most profitable locations to build wireless services faster and more efficient. This has enabled TELUS to make more informed decisions about where to deploy its services and how to target its marketing efforts.

Quantitative Benefit