Big Data Analytics in Telecom Industry

Telecom

Massive Profits are Hidden in Your Telco Data

Deploy efficient LTE and 5G, gain a deeper understanding of your network, and enhance customer experiences with advanced analytics and visualization

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Trusted by Telecom Industry Experts

Make the Best 5G Investments

Modern 5G network development requires efficient, cost-effective placement of cellular equipment to maximize network performance and return value on significant capital investments. Network operators, engineers, and data scientists can analyze and visualize complex telco data records at scale with HEAVY.AI. Rapidly run millions of complex calculations aimed at reducing interference between the innumerable towers of 5G networks with existing network datasets, scenario models, and coverage data.

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Reduce Customer Churn

Acquiring new customers can cost up to 25 times more than retaining existing ones. Carriers rely on data analytics using demographics, usage, connectivity, network performance and reliability, and more, to reduce their customer churn rates. Yet the scale of this data is too vast for their existing telecom analytics tools, which limits customer churn analysis. With HEAVY.AI’s advanced analytics capability users can quickly analyze and visualize all of their data to spot anomalies and drill down to specific network issues that can cause customer churn.

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Special Event Performance and Network Monitoring

Special events, such as concerts and conferences, use a ton of bandwidth as customers upload photos, videos, and even live streams of their experience. This requires real-time network monitoring to adjust resources and spot anomalies before they become outages. Yet the ability to layer these disparate, high volume data sets is beyond the capabilities of traditional analytics platforms. With HEAVY.AI, telecommunication network operators can perform advanced analytics to derive real-time insights from real-time events. This allows them to rapidly understand complex customer experiences and perceptions, fine-tune, and optimize their networks to manage the load.

When we loaded 2.5 billion rows of raw data...and started interacting with it, it was still performing interactively as with the 100 million row data set. So when we saw that it could do much more data than we even planned to throw at it and work interactively, we knew this was the product for us.

Dustin Wright

Data Scientist, Telus

Telecom Industry Resources

Webinar

How TELUS Turned Disparate Data into a Market Growth Opportunity

See how TELUS uses HEAVY.AI to maximize profit with an improved market sizing tool by layering spatiotemporal datasets to identify competitor coverage and where to build wireless services.

Blog post

Ready, Set, Grow: The Year of 5G in Telecommunications

In 2020, 5G promises tremendous revenue growth for the telecommunications industry. Is the industry equipped to overcome their network architecture needs?

DEMO VIDeo

Predictive Analytics Telco Demo

Jensen Huang, CEO of NVIDIA, and Aaron Williams, VP of Global Community at HEAVY.AI, present a predictive analytics demo on telecommunications network data from a major multi-service network provider.

Telecom

Whitepaper

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Webinar: Network Reliability During the pandemic - a verizon case study

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Use case

Optimizing 5G Network Architecture

Modern 5G network development requires efficient, cost-effective placement of cellular equipment to maximize network performance and return value on significant capital investments. With OmniSci, telecommunication network operators, engineers, and data scientists can analyze and visualize complex data records at scale. They can layer their existing network data sets with modeling and coverage analysis and rapidly run millions of complex calculations aimed at reducing interference between the innumerable towers of 5G networks.

Download Whitepaper >

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Use case

Customer Churn Analysis

Acquiring new customers can cost up to 25 times more than retaining existing ones. Carriers rely on data analytics around demographics, usage, connectivity, network performance and reliability, and more, to reduce their customer churn rates. Yet the scale of this data is too vast for their existing analytics tools, which limits telco customer churn analysis from quickly running ad-hoc queries or visualizing and dashboarding customer data in its entirety. With OmniSci, analysts can rapidly visualize billions of records to spot anomalies and immediately drill down to specific network issues that can cause customer churn.

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Use case

Special Event Performance
& Network Monitoring

Special events, such as concerts and conferences, are bandwidth-heavy as customers upload photos, videos, and even live streams of their experience. This requires real-time network monitoring to adjust resources and spot anomalies before they become outages. Yet the ability to layer these disparate, high volume data sets is beyond the capabilities of traditional analytics platforms. With OmniSci, telecommunication network operators can derive real-time insights from real-time events. This allows them to rapidly understand complex customer experiences and perceptions, fine-tune, and optimize their networks to manage the load.

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