With more than 600,000 apps in both the Apple and Android application stores, it is inevitable that many of these applications represent a threat to individual subscribers and the network as a whole.
Badly designed or defective apps can generate excessive data usage, increase network signalling loads and reduce battery life with a number of high profile network outages in the US and Japan traced back to individual mobile apps .
Amethon’s Mobile Analytics provides the ability to identify problematic applications and services at an early stage allowing the operator to take proactive steps to minimise the impact on individual subscribers or the network as a whole.
Mobile Analytics can identify applications and services which :
- Generate excessive data usage
- Generate high transaction volumes
- Keep data channels open for long periods
- Increase network signalling loads
Once identified, the application signatures provided by Mobile Analytics can be used to block or throttle these threats, or lists of affected subscriber can be generated for notification messages.
Reducing the impact of defective or badly designed applications on individual subscribers will increase customer satisfaction by avoiding excess data usage and improving battery life.
Identifying and mitigating popular applications which affect large numbers of subscribes will reduce the possibility of network outages and associated revenue loss and subscriber churn.