Big Data Value at Mobile World Congress 2013

Barcelona, Spain is known for its tapas, futbol, and Gaudi-inspired architecture. However, as host to the world’s largest annual mobile industry event — Mobile World Congress  — the city has also become synonymous with all things mobile.

Nearly 80,000 attendees (72,000 from 200 countries to be precise — an all-time high) were blanketed with announcements and presentations about the latest gadgets and devices, the wireless enablement of mainly everything, Machine to Machine (M2M), and, largely, the growth and value of managing and analyzing Big Data.

It’s no surprise to us, given that 7 of the top 10 communications and service providers (CSPs) trust the HP Vertica Analytics Platform to manage and analyze terabytes to petabytes of data (i.e., Big Data) in near-real time.

But why are CSPs managing and analyzing all of this Big Data — in other words, where is the value?

Miguel Carrero, GM, Actionable Customer Intelligence, HP and I covered this very question at the show during a short video interview. Miguel also covered this topic in more detail in the day three editorial recap of Mobile World Daily 2013.

At the HP booth (as well as the transformation workshops), CSPs met with HP CMS (Communications and Media Solutions) to learn how the HP Smart Profile Server Solution — powered by the HP Vertica Analytics Platform — helps them realize a range of real-world use cases with real business value:

  • Targeted product and marketing offers – Gain complete contextual insight into your customers’ needs then take action to improve customer satisfaction and achieve better retention rates.
  • Network optimization – Improve your network engineering and planning and user experience via optimized network utilization and real-time response to traffic congestion situations.
  • “Bill shock” mandate – Provide pre-paid and subscriber mobile customers with visibility into their mobile usage, including voice, data, and roaming.
  • New business model enablement – Capture the real-time business value of each of your customers and leverage it via new collaborative business models — increasing upsell opportunities and delivering prioritized resolutions.

What is your organization’s most prevalent use case for managing and analyzing Big Data?

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