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Network Analytics

Telecom Network Analytics

Turn the data your network already produces into better planning, steadier service and lower operating cost.

Telecom and cable networks generate an enormous amount of data: counters, probes, alarms, tickets, usage records. Most of it is used to look backward. PASY Technology helps operators bring that data together and use it to look forward, so that investment, operations and customer experience decisions are made on evidence.

Questions network analytics can answer

Where will demand outgrow capacity, and when?
Which upgrades will return the most for the money spent?
Which customers are having a poor experience right now, and why?
Which nodes or devices are likely to fail next?
Where is operating cost higher than it needs to be?
How are customers really using the network?

Three ways we put network data to work

Each area can be delivered separately or as part of a wider program.

Capacity planning and deployment

Forecast traffic at cell and service-area level, compare it with real capacity, and direct capital to the upgrades that matter most.

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Service assurance and customer experience

Connect network, service and customer data so that issues are seen from the customer's side and fixed in priority order.

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Predictive maintenance

Use performance and fault history to identify the equipment most likely to fail, so field teams can act before customers are affected.

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What sits underneath

Useful analytics depends on sound data foundations. We build or extend them as needed.

Data integration

Bring together network elements, probes, fault and performance management, inventory, billing and customer systems, in batch or in real time.

Analytical data models

Network, usage and customer records organized so that the same trusted data feeds every use case.

Models and KPIs

Forecasting, clustering and prediction models alongside a maintained library of network and service KPIs.

Dashboards and reporting

Views built for the people who act on them: planners, network operations, customer operations and leadership.

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.

Explore what your network data can do

Tell us which decisions you want better evidence for and we will suggest a first use case.

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