Capacity plans are often built on rules of thumb and vendor-stated limits. The result is money spent on sites that did not need it while congested sites wait. We replace assumptions with measurement: what each site can really carry, how demand on it will grow, and what the gap is worth.
From raw counters to an investment plan
The components below build on one another and can be introduced step by step.
Demand forecasting
Traffic and user forecasts for each cell or node, accounting for seasonality, holidays, local events and planned network changes.
Real capacity diagnosis
An estimate of what each site can carry in practice, based on its measured behavior, compared with its theoretical capacity.
Site clustering
Groups of sites with similar demand, traffic mix and device profiles, so upgrade strategies can be set per group.
Investment prioritization
A ranked view of upgrades by congestion risk and business value, showing where spend can be moved or deferred.
Service area profiling
Scoring of areas for new build using traffic, demographic, economic and geospatial data.
Deployment tracking
Health measures and root-cause analysis for rollout programs, to keep delivery on time and on budget.
Data we typically work with
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.
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Set up a sandbox
We agree the questions that matter, stand up a secure analytics environment and load a first extract of your data.
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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.
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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.
Test your current capacity plan
Share a region or a set of sites and we will show how a data-driven plan compares with the one you have today.
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