Today’s mobile networks generate vast amounts of data.
With the advent of 5G, these data lakes are set to grow exponentially. Data will move from local storage to the cloud and eventually to the edge.
Needless to say, this data is strategically valuable. MNOs could analyse it to improve customer service and to diagnose/fix operational issues in the network.
But this isn't easy.
The data is generated by OEMs whose systems are often proprietary and therefore not interoperable.
To top it off, data is usually stored in multiple locations.
The bad news?
Most telcos lack the ability to capture the data and draw meaningful insights from it.
So, here come NWDAF and Guavus.
To help, Thales has developed analytics tools (collectively named Guavus) specifically designed for the purpose.
Thales' analytics tools
Telcos can deploy Guavus tools for two purposes.
The first is to keep the network running optimally.
We call our network solution Ops IQ. MNOs can deploy Ops IQ to trigger millions of alarms, which flag network problems.
With the application of machine learning, these systems can even deliver predictive maintenance to anticipate faults before they occur.
The second application of Guavus is customer experience.
We call this solution Service IQ.
Mobile operators' marketers can use it to study digital interactions with the network – web browsing habits, app use, etc. Armed with these insights, they can devise more effective promotions.
Of course, all this is possible with friendly data visualisation tools and without any need for coding skills.