Deploying predictive analytics to improve the customer experience



Predicting and preventing network pain points – Part 3

In the third part of our network pain points blog series, we look at the advantages of deploying predictive analytics and why any analytical system can benefit from the application of streaming analytics.

Streaming analytics has become an ever more critical element of any real-time system. While real-time analytics gives an essential view into the detail of recorded history, enabling educated decisions to be made and actions to be taken, the trigger for action lies within the domain of streamed data.

The ability to identify a key data point, progression or trend, as the data passes into the system, is fundamental to many evolving big data applications. An example of network-based analysis is a system monitoring power supplies across an entire country; the patterns of telemetry reported to the system follow different patterns of data trend and activity before complete failure. By running scenarios to act against the trends, power failures are avoided, system uptime is maintained and customers are happy.

In the telco sector this means the ability to analyse call data records in real-time, among a multitude of other information, to offer better service and rates. Our telco customers use ZenRSA, which incorporates patented Proximity Correlation technology, to analyse data (any type, size, volume, time) according to the scenarios that have been developed for their business problems.

The integration of ZenPM into other systems, including SQL databases, means that the reports and alerts created in ZenPM trigger notifications to other systems and people alike. Additionally, the combination of customer experience data, e.g. the raising of support tickets, with operational data, in real-time, ensures that the customer experience will be viewed contextually resulting in trend identification and issue prevention.

Our next blog in the series will look at how to optimise network infrastructure, across operators. For more advice on reporting as one across multiple platforms and domains, contact us.