Big Data: 5 KPIs for Cable
Despite having numerous touch points in homes and businesses, including modems, routers, billing systems and network devices, cable operators haven't fully utilized the data in their legacy systems that has been at their fingertips.
With the move towards IP, virtualization and cloud-based networks, cable operators now have the opportunity to collect, analyze and monetize large amounts of information via big data analytics. Big data analytics can improve performance, retain customers and support new revenue-generating services.
Big data analytics requires processing, enriching and making sense of the data that is collected in a timely manner, which could be hours or days as opposed to weeks and months. Changing that collected information into useful action items is the end game for the big data analytics transformation that's underway.
In order to move beyond the legacy data constraints, cable operators are looking at five key performance indicators (KPIs) for big data analytics, according to a recent Heavy Reading report.
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On-the-Air Thursdays Digital Audio
ARCHIVED | December 7, 2017, 12pm EST
Orange has been one of the leading proponents of SDN and NFV. In this Telco Transformation radio show, Orange's John Isch provides some perspective on his company's NFV/SDN journey.
Special Huawei Video
Huawei Network Transformation Seminar The adoption of virtualization technology and cloud architectures by telecom network operators is now well underway but there is still a long way to go before the transition to an era of Network Functions Cloudification (NFC) is complete.
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