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Data-driven service analytics

Big data analytics on key service metrics will drive targeted service innovation.

Perhaps one of the biggest benefits of operating an IoT network will be the insights gained into customer and network behavior. Because of the massive scale expected in IoT networks, fully automated network operations will be an absolute necessity; manual operations will simply not scale to the volume of deployments or be able to effectively keep the network operating efficiently.

Underlying this automation will be highly sophisticated analytics tools generating millions of KPIs daily to keep track of the health of the network and services. This data can then be analyzed to extract service and usage trends, identify key growth markets and new service opportunities. It can also be used to continually assess and improve the overall quality of the network to ensure competitive advantage is maintained.

So while IoT will certainly drive additional services and revenue, it’s biggest benefit may be in creating an analytics-based engine for growth.

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Technical documentation

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White papers
How to Improve QoS and QoE with End-to-End Service Assurance in a Virtualized SDN/NFV Network (March 8, 2018)
White papers
Deliver superior quality of experience through accurate one-way delay assurance. (March 15, 2018)
White papers
Multi-dimensional analytics (April 6, 2018)
White papers
Lifecycle testing strategy for mobile networks in the IoT era (March 15, 2018)
Test your way to NB-IoT success (March 13, 2018)
Testing the Internet of Things (March 13, 2018)
Performance assurance in LTE-A and 5G virtual and hybrid networks (July 16, 2019)
How do you upgrade your network for one-way delay metrics without breaking the bank? (July 16, 2019)
Network-wide latency maps for mesh, hybrid and cloud networks (April 4, 2019)
How IoT, 5G & NFV will impact data center infrastructure (November 16, 2017)
Success story
Using real-time 3D analytics to help Canadian CSP meet SLA targets (December 9, 2019)