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  • admin 9:52 am on March 10, 2017 Permalink
    Tags: Dinge, , Telcos   

    Telcos und das Internet der Dinge 

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  • admin 9:51 am on November 6, 2015 Permalink
    Tags: , , Pickings, Rich, Rush, Telcos   

    The Big Data Gold Rush — Rich Pickings For Telcos 

    How do you improve profitability and win a greater share of the customer wallet in an increasingly competitive market?

    Well, one way is to join the latest gold rush… and you could do that right now. There’s a rich vein of golden nuggets with your name on it, just waiting to be discovered. Not in the mines of Australia or the streams of California, but in the vast deposits of Big Data that surround us.

    And that’s important, because data helps differentiate a company from its competitors, and drives greater business value. For me, Big Data is a by-product of innovation in the face of competition – whether you’re trying to improve market share, competing for funds in not-for-profit sectors, or a-hundred-and-one other commercial scenarios.


    I Am Not A Number

    Take the telecommunications industry. By the end of 2016, telcos will be firing zettabytes of data around the globe. It wasn’t always that way, of course. In the monopolistic regime of the early ‘80s, traffic was predominantly fixed-line and used for voice communication. Back then, the customer was just a number. And phone bills – based on information from aggregated meters (much like the water meter in your own home but located in electro-mechanical meter racks at the telephone exchange building) – were generated once a quarter.

    Who Can I Turn To?

    With aggregated, metered data it was impossible to know how many, to where, and at what times, calls were made. Inevitably, guesstimated bills triggered disputes. But so what? It’s not as if subscribers could take their business elsewhere. There was no alternative provider.

    Deregulation killed-off of the meter rack and, in a mad scramble for customers, new service providers were obliged to find ways to differentiate their services. Hence the introduction of itemized billing through the use of electronic Call Details Records (CDR).

    The xDR-Factor

    Today, CDRs (now called xDRs) represent every customer touch point – calls, SMS, roaming, video downloads, mobile commerce, and so on. And the behavioural patterns xDRs provide are a critical factor in the application of data analytics. Big Data was born, and it created an explosion in the number of records that telecom service providers had to manage – a staggering 36,000 records per customer, per year (up from the previous average of just four records / customer / year).

    Currently, energy and utilities companies are at the same stage telcos were at in the early ‘80s. However, deregulation is changing their situation, too.

    Every Little Byte Counts

    In the wholesale energy market, the highest bid required to meet demand dictates the 30-minute clearing price. Energy retailers realised that, what with volatile spot prices changing every 30 minutes (added to the fact that they were only taking quarterly meter readings), they were unable to forecast usage and demand. Nowadays, armed with detailed interval-meter usage and weather data they develop accurate, predictive models, that improve profitability and sharpen their competitive edge.

    And in a highly competitive market where concerns about the cost of customer acquisition, retention, service differentiation, and revenue growth dominate the corporate agenda, every bit of customer data that a provider can get their hands on helps build lifetime value and a better customer experience. Any telecom service provider operating aggregated billing (similar to that of today’s energy and utilities companies) would be unlikely to survive. I mean, how many customers are likely to stick with a service provider who doesn’t monitor or manage their experience?

    Are You A ‘15er, Or A ‘16er even?

    For telcos, xDRs have been the source of Big Data for over 30 years. For banks, it has come from ATMs and credit-card transactions. Retailers have relied on point-of-sale transactions. For the energy retailers, it’s interval meters. And for the Googles and the Amazons of this world, Big Data means web-click streams and social-media interactions.

    But, for modern-day ‘49ers – the ‘15ers – the Big Data gold rush involves integrating digital and traditional data, then mining the mother lode using AI, statistics, machine learning, and database systems, to predict future trends by finding connections and patterns in large data sets.

    In other words, using Big Data to discover the golden nuggets of insight that make a great business, even greater.

    This post first appeared on Forbes TeradataVoice on 21/10/2015.

    Sundara Raman is a Senior Communications Industry Consultant at Teradata. He has 30 years of experience in the telecommunications industry that spans fixed line, mobile, broadband and Pay TV sectors. He specialises in Business Value Consulting, business intelligence, Big Data and Customer Experience Management solutions for communication service providers. Connect with Sundara on Linkedin.

    The post The Big Data Gold Rush — Rich Pickings For Telcos appeared first on International Blog.

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