Roaming Analytics
At a time when Roaming departments’ budgets are being cut, operators need to track their costs more closely than ever (and therefore their data) throughout the roaming value chain.
Near-real-time and real-time data transformation is the key to effective subscriber control. With the increasing fraud threat there is a growing need for instant analysis of data using effective software applications.
Serving CSPs and subscribers alike
Gaining a better understanding of subscriber behaviour opens up new avenues for tailoring services to meet subscriber expectations:
- Adapting services to subscriber behaviour (and not vice versa) is still a hugely untapped market. In recent years we’ve seen the development of subscriber usage patterns which defy the ability of telecom operators to roll out flexible and tailored subscription schemes. The profit opportunity is very real, if only the operator could harness this data. The problem is largely the absence of analytical methods, and the inflexibility of many legacy billing systems.
- Analysis of actual usage is critical to supporting business decisions in the areas of roaming and interconnection. Gaining insight into actual subscriber behaviour through targeted analytics can help negotiate more lucrative interconnection and roaming terms.
- Data analysis is invaluable if you are seeking to reduce churn away from your network. Because the cost of retaining an existing customer is far less than acquiring a new one, applications that help determine the causal factors of customer attrition are invaluable.