In the communications industry, network performance is directly connected to customer experience. The ability to seamlessly connect the dots between network performance and customer experience allows a company to differentiate itself from its competitors.
In this webcast, Ari Banerjee and Kelvin Hall will discuss Banerjee's research for the Heavy Reading white paper of the same name. This research clearly shows that network data is the most underused resource in most service provider organizations – and one of the most valuable. They'll also share examples of communications companies that are using analytics and big data to improve customer experience.
Watch the discussion now to learn how advanced predictive network analytics can help you:
- Provide accurate network capacity and usage information to avoid unnecessary network and infrastructure upgrade activity.
- Integrate data from traditionally disparate systems including CRM, billing, fulfillment and service management.
- Understand the correlation between network performance and the end-user service experience.
- Maximize revenue potential through informed network investment decisions based on real-time network traffic information.
Ari Banerjee's research focuses on the service provider IT sector, examining the breadth of software used by communications service providers in customer, business, service and infrastructure management. His area of focus includes all aspects of BSS, OSS, SDP, digital commerce, revenue assurance, service assurance and elements that span both the infrastructure and network software markets. Prior to joining Heavy Reading, Banerjee was the VP of Next Generation Software Systems at Yankee Group.
Principal Telecommunications Consultant
Hall has served the telecommunications industry for more than 30 years. Most recently he served as the Director of Analytics servicing AT&T network engineering. Hall is a pioneer in network data algorithms that are changing the way business operates. His approach pinpoints detailed network problems through a new analytical approach that exposes problems that were not visible previously.