Recently I have watched several vendors in our markets talk about Big Data, and the technologies they are supporting to manage that data. What I’m trying to understand in all these announcements, however, is “what does that mean for me, the user?” … or put more directly, “so what?”
There are great numbers out there. With all the buzz about Exadata and Hadoop being made in the market, operators have reason to take notice of what’s being achieved: 1 billion loaded records per hour; 10x-13x storage savings; 70% decreases in DB license costs… Subex is also seeing similar fantastic numbers, and in many cases we are now benchmarking 40x faster performance that these other vendors’ results. Subex has supported Exadata for some time, is seeing significantly stronger results using Vertica, and will be supporting Hadoop in the coming months (including the Hadoop + Vertica hybrid, which is proving to be the best performing architecture anywhere in the industry). But still the question remains: So what?
Vendors in our market have continued to allude to the ability to process data faster and save costs. But what else can this increased data power do for you? That should be the question being asked and answered. For this, Subex has strategically employed these new data processing advantages right in the heart of the ROC suite – which now enables our operator customers to not only see those “default” benefits of faster processing (decreased hardware, decreased costs, etc.), but to also extend their business intelligence into other critical business areas (in many cases, real time), including:
– Customer Experience and propensities to Churn
– Enterprise Margin analytics
– Aggressive network and service Time to Exhaustion analytics
– Service impact “what if” propensities and analysis
– Distributed fraud support in wholesale parent/child enterprise relationships
– Deep packet inspection and response for IP fraud detection and cost management
– Immediate wholesale cost/benefit analysis with carrier trading
– Analytics insights into root causes underlying specific issues in costs and revenues
– Preventative security insights to plug loss exposure before it happens
– Predictive product analytics to understand the internal impact of a product offer
– Etc.
These are but some of the areas operators should be looking for answers from within that new data processing capability…not just faster dashboard updates for current processing. Big Data remains useless if you can’t process new insights and intelligence from within its unstructured foundation. By positioning all relevant new performance technology advances into the heart of the ROC suite, every Subex application will benefit from the improved performance, while be positioned to share that data across other ROC solutions in the suite. This strategic approach will ultimately enable operators to model and extract far more critical intelligence for all the questions above, and more!

Vice President – Product Management - John Brooks serves as the Vice President of Product Management in Subex. He has over 26 years of experience in Telecommunications, spanning Fixed, Mobile, Data, and Video technologies. Within the industry Mr. Brooks was a board member for the GBA, founded the TM Forum Fraud team (authoring the first International Fraud Operations and Fraud Classifications guides), and now leads the TM Forum Network Asset Management team, focusing on transformative best practices for SDN/NFV operations. Over the years Mr. Brooks has served as an Advisory Board member for a prominent technical university, and has spoken at over 50 industry events and authored numerous papers on topics spanning IoT, Digital Disruption, Big Data, and Enterprise Risk Management. With Subex (formerly Connexn/Azure) since 1999, he has directed over 40 successful Cost, Revenue, and Business Optimization engagements at over 24 top-tier carriers globally, including AT&T, America Movil, BT, Vodafone, and Verizon.

1 COMMENT

  1. Interesting post.
    Is Exadata still supported?
    What compression rates were observed with Vertica?
    Thanks,
    Stazer

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