Next Generation Communications Blog

Customer Care

The Big Deal about Big Data Analytics

By Greg Owens, Senior Director Customer Experience Solutions Marketing, Alcatel-Lucent

 

The rise of big data is causing service providers to ask some big questions: How should we store our data? How long should we keep it? What parts of it are relevant to our business? Most importantly, how do we get value from it? To turn big data into a big deal, service providers need to extract insights that can help them make smart business decisions and improve the customer experience.

 

The value of big data is all in what useful and actionable information it can provide. I find it exciting to see how service providers use big data analytics to gain new insights and solve complex problems. With this post, I’ll look at some new research by industry analysts and three key opportunities that big data analytics presents to service providers.
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The Big Challenge: Extracting Value from Big Data

Knowing what to do — and what can be done — with big data are important key to success. But these things are easier said than done. For its special report on big data, European Communications asked respondents to name the biggest barrier to operators seeking to execute a successful big data strategy. A lack of understanding of the potential that big data presents topped the list, getting the nod from 27% of respondents.

This response highlights the real challenge for service providers: finding ways to extract value and create tangible benefits from big data. Providers have vast amounts of information about customers, networks, services and operations. So how can they monetize it?

Proactive Care Puts Operators One Step Ahead

By Thomas Fuerst, Senior Director, Multimedia Solutions MarketingAlcatel-Lucent

Monitoring and analyzing network data proactively saves operators time, money, and customers.

When a network service fails, it makes headlines, ticks off customers, and costs that network operator money. When a failure is headed off in advance, on the other hand, there might not be praise-laden headlines, but it's newsworthy nonetheless.

The traditional approach to customer care has typically been: a disgruntled customer calls customer service and complains of a service interruption or problem; the rep, learning of it for the first time, sends out a technician the next day, and eventually finds a resolution. Often, customers are left feeling put out, and the operator has spent significant time and money resolving the problem. Even worse is the customer who doesn’t call and just feels this is ‘typical’ of their network experience.  That is a customer at risk of leaving.

Proactive care flips this dynamic on its head by using predictive analytics to identify potential outages or errors in the network and stop them before they occur. It consists of three main parts: one, constantly monitoring and measuring data on the network; two, real-time analysis of the data; and three, the most important, acting on that analysis to fix the problem.

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