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Network Analytics

Service Assurance & Customer Experience

See service quality the way your customers experience it, and fix what affects them most.

Network operations teams usually watch equipment. Customers experience services. An alarm on a node says little about how many people are affected or how badly. We help operators move from element-centric monitoring to a service and customer view, where every issue is ranked by its real impact.

A customer-centric view of the network

Each capability can stand alone or feed the others.

Service quality monitoring

Service models and dashboards that roll network KPIs up into the health of voice, data, video and broadband services.

Impact-based alarming

Dynamic thresholds and rules that weigh an issue by the customers and value affected, with drill-down from region to element.

Customer experience analytics

Per-customer and per-segment experience measures that link quality of service to complaints, churn and revenue.

Root cause analysis

Correlation of line quality, device, configuration and network data to explain recurring faults and service disruptions.

Wi-Fi experience insight

Access-point performance, session success and load forecasting to find weak hotspots and plan new ones.

Trouble ticket and field analytics

Views of ticket flow and field force performance that show where remote resolution and better scheduling would cut cost.

Data we typically work with

Network probes and deep packet inspection feeds
Fault and performance management systems
Call and data detail records
Trouble tickets and customer contacts
Customer premises equipment data
Inventory and topology
Customer and product records
Field service records

Start small, prove the value, then scale

We would rather show a result on your own data than promise one on a slide. Each engagement moves through three stages, and you decide at the end of each whether to continue.

  1. Set up a sandbox

    We agree the questions that matter, stand up a secure analytics environment and load a first extract of your data.

  2. Prove one use case

    We build and test the models for a single, well-defined use case and review the findings with the teams who will use them.

  3. Extend and operationalize

    Use cases that prove their value are hardened, automated and put in front of planners and operations teams as part of their daily tools.

Find out what your customers are experiencing

Tell us which service or region concerns you most and we will outline a first assurance use case.

Talk to Our Team →
Or email us directly at info@pasy.us