Published on May 26, 2014
Breaking Up Big Data
Webinar of the Week Blog Series
Big data is rife with challenges for mobile network operators (MNOs) from deployment to troubleshooting. At best, it is a crude resource that must be refined before any crucial information on service efficiency and quality can be extracted from it. So, why bother? Simply because these two elements are quickly becoming the main points of comparison and competition between operators. Whoever provides the best quality at the highest efficiency will be declared the victor!
So what is the nature of big data in mobile networks? What is the meaning of QoE and how do we validate it? What are the best ways to break up big data for QoE, SLA and troubleshooting purposes?
If you are interested in the answers to the questions above, then be sure to check out our 3-part webinar on breaking up big data:
- Part 1: When big data is too inflexible to find out QoE, ensure SLA compliance and troubleshoot
- Part 2: Using SpeedTest.net analysis for subscriber QoE
- Part 3: Using YouTube analysis for QoE