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Big Data for Better Operations - The Use of Analytics in the Connected Home

By: Alan Marks, Senior Product Marketing Manager, Alcatel-Lucent’s Motive Customer Experience Solutions

The increasingly competitive broadband market has service providers facing new challenges as they deliver services to today’s Internet-connected home. One challenge is delivering technical support for the rapidly increasing number of Internet-connected devices in the home. Consumers are now connecting gaming consoles, smart phones, tablets and other devices to their residential gateway, and their broadband Internet service. In light of this increasingly complex and dynamic technological landscape, it is no surprise that service providers have turned to analytics to better understand their customers’ needs.

How signaling spikes affect networks: 3 real-world examples

By: Josee Loudiadis, Director of Network Intelligence, Alcatel-Lucent

Data and signaling growth are usually good news for network operators, since growth often translates into higher revenues. But when growth is averaged over a month or quarter, the daily highs and lows of network activity are smoothed out. And signaling spikes remain hidden within the averages. These spikes can overwhelm available signaling capacity, which impairs the customer experience, as well as the operator’s reputation.

What happens when a spike occurs? Typically, a CPU Overload alarm appears on various mobile nodes. And the Network Operations Center (NOC) immediately starts praying that the burst is short-lived and doesn’t go over maximum peak-rate capacity. Because when that happens, all consumers are denied service access. Then, the process of identifying the source of the problem begins. This can be arduous, because it often involves applications completely out of NOC control. And the issue can’t be resolved easily without solid network analytics that enables engagement with application and device developers.

That’s the reason signaling information is a crucial part of the Alcatel-Lucent Mobile Apps Rankings report and why LTE World 2014 devotes an entire pre-conference day to the topic. It’s also why this blog offers a closer look at how some real-world disruptive signaling spikes got started — and were finally resolved.

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?

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