Revenue Assurance and Fraud Management Is Data Science
Yesterday’s Commsrisk article did not just present a nice theory. Here are the connections between data science and RAFM at a real telco.
Yesterday’s Commsrisk article did not just present a nice theory. Here are the connections between data science and RAFM at a real telco.
Resistance to treating RA as a branch of data science ignores the realities of who leads innovation in the field and why they do it.
The community of revenue assurance professionals has not found the leadership it so desperately needs.
This article is not a stub. It states important facts about a discipline that too often treated the documentation of facts as unimportant.
The 217mn inhabitants of the world’s seventh-largest country are told that telcos need revenue assurance to be imposed from outside.
A customer was lured into making an expensive international call but her error was made hundreds of times worse by her telco incorrectly recording the call’s duration.
Much can be learned from the story of O2 overcharging customers and misleading their regulator, but the most important is that many people want someone else to be responsible for billing assurance.
If regulators should worry about KYC, AML, data protection, fraud and cybersecurity they cannot simply ignore the integrity of revenues.
Security breaches caused most leakage for comms providers, whilst RA-style leakages were worth almost double the value of fraud.
A new series republishing some of the classic Commsrisk articles of yesteryear begins with the very first post on this website.