Optimising Telecommunications Revenue
Optimising Telecommunications Revenue A window into the future, on the outcomes of business decisions or adjustments, would be capable of providing truly exceptional opportunity. Imagine the impact of such a tool in an industry characterised by strong competition, regulatory oversight, fast-moving technology and new, innovative services, where service providers must continually “adjust the levers” to improve their business.

Using big data technologies, sophisticated analytics and smart people, all of the above can be modelled. The right information, augmented by machine learning, gives service providers the opportunity to predict the future. The intention being to produce an “action list” with supporting business case(s). The technologies and computing power needed to do this are powerful, flexible and increasingly affordable.

Typically, a service provider has some reference data such as subscriber name, address or tariff which are updated regularly, and will also collect enough dynamic data to be able to cut the subscriber a bill each month. There are however other dynamic data, such as location, which are not collected regularly and a wealth of ephemeral data, such as logs, which are not collected at all.

Changes to key levers such as the network, tariffing, and service quality all affect revenue and profitability. By exploiting a broader and richer data set, combined with predictive modelling, the impact on subscriber numbers, their revenue, and the profitability can be understood before the change is made.

These valuable insights can help guide a service provider’soperational strategy and improve business results. Service providers who adopt such an approach will thrive and prosper - at the expense of their competitors.