Mobile money has rapidly grown in popularity, especially in Africa. Nevertheless, there is a much more to come.
Practical leaps forward have turned the technology of machine learning into a great new source of commercial advantage for telcos.
Processing huge amounts of social media data will create opportunities and disruption depending on who reaches the right conclusions first.
The best predictive models are built on solid statistical foundations. These should be constructed through preparatory work on descriptive and explorative analyses.
The huge growth in the number of connected devices means telcos need to bundle services and manage SLAs in order to get the right balance between risks and rewards.
Daniel Peter of Mara-Ison Connectiva contributes today’s guest post, which revolves around a common challenge for revenue assurance and fraud management: measuring the benefits that…
In today’s guest post, Daniel Peter of Mara-Ison Connectiva highlights a risk addressed by few revenue assurance teams. It is common practice for telcos to…
Today’s guest post comes from Daniel Peter, who recently contributed to a spirited exchange of comments about unbiased reporting of revenue assurance news and views….