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

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

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

OmniSci

Technology Category	Networks & Connectivity - WiFi
Applicable Industries	Cement Telecommunications
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. Read More
About 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. Read More
Customer Name	Telus Communications Read More
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. Read More Log in to view content
Contents

Technology Category

Networks & Connectivity - WiFi

Applicable Industries

Cement

Telecommunications

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.

About 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.

Customer Name

Telus Communications

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.

Impact #1	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.

Impact #1

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.

Benefit #1	Accelerated performance analytics
Benefit #2	Improved customer experience
Benefit #3	Better visibility into competitor coverage and market growth opportunities

Benefit #1

Accelerated performance analytics

Benefit #2

Improved customer experience

Benefit #3

Better visibility into competitor coverage and market growth opportunities

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Overview

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

Operational Impact

Quantitative Benefit