The success of the brand depends on customers’ satisfaction with offered products or services. But in today’s world, the internet connection has become even more crucial.
Since services such as internet connection are available round-the-clock, effective anomaly detection would require 24/7 monitoring. Trained employees would need to detect the outages before the first displeased customer’s call.
Anomaly detection algorithms can achieve high accuracy in detecting data anomalies as soon as the data is available. The algorithms can also generate alerts for further investigation of the data, and even categorise the anomaly type and offer more insights into what happened. This is where using machine learning can help immensely.
DataSentics offers expertise in various types of anomalies, with references, for example, in communications of IoT devices connected to a TV, transmitted by wireless mobile networks. Outages detected in that case were related to power malfunctions in cell towers due to bad weather, human errors, or even floods.
- Algorithm can detect an outage early, which lowers the number of displeased customer’s calls, and with the help of AD identifies unusual invoices, unusual amounts or strange dates.
- Machine learning allows for in-depth analysis of the outages, insights into possible future changes, and prevents manual work errors