The Knowledge Exchange / Business Analytics / Are customer calls dropping left and right? High-performance analytics can help.

Are customer calls dropping left and right? High-performance analytics can help.

Part of the High-Performance Analytics Series on the Business Analytics Knowledge Exchange

Gone are the days of traditional capacity planning for network operators. They no longer have the luxury of taking months to address changes in network demand. Bandwidth consumption is becoming harder to forecast as smartphones, tablets, on-demand HD video and cloud computing can create instant shifts in consumption patterns.

Consumers expect operators to keep up. This requires new methodologies that correlate customer data with near-real-time network status information. Consider that a large communications network executes and tracks billions of events each day involving millions of customers. Here’s how high-performance analytics could use that (big) data to the operator’s benefit:

  • It could enable nearly instantaneous analysis of network performance and the ability to measure the effect on individual customers.
  • By correlating customer data with near-real-time network performance monitoring, the network operator could know not just which parts of the network have degraded service, but which customers are affected and what corrective actions make the most business sense.
  • By dynamically reacting to customer demands, network performance operators could deliver optimal performance all of the time.

How are customer expectations changing for your organization as a result of big data? Keep reading this series to hear how the public sector can benefit from high-performance analytics in future posts. Or read more now in this white paper.

Tags: ,
  • Facebook
  • del.icio.us
  • Twitter
  • Digg
  • LinkedIn
  • email

Post a Comment

Your email is never published nor shared. Required fields are marked *

*
*

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>