Platform — Predictive Analytics
TekFidelityIQ's Predictive Analytics layer tracks trends in SNR, channel utilization, and client load — forecasting capacity issues and flagging APs that are trending toward failure so your team can act before users notice.
Track SNR, utilization, client count, and health score over time. Spot when a metric is trending in the wrong direction before it becomes a complaint.
Project when specific APs will hit their practical client or airtime ceiling based on observed growth rate. Plan expansions before the problem arrives.
Rising retry rates, declining SNR, or increasing reboot frequency on a specific AP often precede failure. Predictive alerts flag APs showing these patterns.
Score APs by age, load, failure history, and Wi-Fi generation. Get a prioritized refresh list that helps you justify hardware spend to customers and management.
How it works
TekFidelityIQ builds a trend baseline for every AP and site from the first snapshot onward. After 4–8 weeks of data, the predictive layer has enough context to identify directional trends — is this AP's average SNR declining month over month? Is client count growing by 3 per week? Is channel utilization trending upward on Friday afternoons?
Capacity forecasts project these trends forward to estimate when an AP will hit a defined threshold — for example, when average client count per AP will reach 30 (a typical practical ceiling for 5 GHz on a Wi-Fi 5 AP) based on the current growth rate. This gives you a specific date to plan around, not just a vague warning that 'things are getting worse.'
Failure predictions watch for combinations of signals that historically precede AP problems: sudden increases in reboot frequency, rising retry rates without a corresponding increase in client count, or declining SNR on APs that haven't moved and where no channel change occurred. These patterns often show up 2–4 weeks before an AP starts generating complaints.
FAQ