Razorsight: Helping CSPs Differentiate via Cloud based Data Science in the Zettabyte Age
The $2 Trillion global telecommunications industry is changing at lightspeed. The challenges facing Communications Providers in the face of exponential data growth from social and all things mobile, market saturation, declining ARPU, and new competitors with significant economic advantages are well documented. The rapid evolution to a world of all things connected and conversions to LTE and all IP networks creates a paradox for network operators. The glass half full perspective says the market opportunity has never been better, and operators will profit handsomely from the mobile explosion and the monetization of the connected universe. Conversely, the glass half empty perspective says the threats have never been greater and operators will be relegated to commoditized pipes as innovative, new forms of communications, over-the-top (OTT) and social apps disrupt the traditional telecom and cable models in a manner similar to how Uber has disrupted the taxi model.
The winners in this new mobile world will quickly abandon the old model and redefine the way they serve customers – both in terms of network architecture and the resultant new economic model and mass personalization. In order to execute on this vision, the new market leaders will leverage predictive analytics models created by remarkable Data Scientists to gain a competitive advantage in the same way the Oakland Athletics redefined a 100 year old industry via the infamous Moneyball approach.
The classic silo approach to products, markets and customers and the associated BI models are quickly becoming obsolete. The innovators will look at customers, markets and products with a 360-degree lens. The winners in 2014 – 2017 will employ predictive analytics models to profit from new insights into customer wants, consumption, service challenges, and to deliver real-time premium services and mass customization on-demand.
In order to deliver on the promise of predictive analytics, operators will have to sift through zettabytes1 of data. The new generation of smartphone and tablet users are expected to generate and consume a zettabyte of information each by 2020. Such a breakthrough requires the ability to analyze massive data volumes, housed across the enterprise in multiple systems and data silos and deliver key insights and answers, thereby creating an intensely targeted field of the precise data required to monetize these insights and boost profits – by customer, by product and by exact geographic location.
In a revolutionary new development that leverages 10 years of working exclusively with leading global communications providers, analyzing massive volumes of data, delivering cloud based analytics to CFO organizations at AT&T, Verizon, Comcast, T-Mobile, Tata, Telus, Facebook and numerous others, Razorsight has married a team of the industry’s best Data Scientists with its industry leading cloud analytics software to create a new Predictive Analytics solution. Razorsight’s predictive cloud analytics application sets a new standard in how communications providers evaluate customer value, pricing, marketing, retention, and network investment. Unique in the industry, Razorsight delivers an easy to use, consistent answers and insights from the integrated perspectives of Customer, Product and Location while providing the flexibility of multi-layered views across the enterprise depending on the user’s business focus: finance, network, marketing, executive, sales, etc. The end result, for communications companies: the long sought ability to grow their business based on a precise understanding of their most profitable customers, products, markets and locations.
1 A zettabyte is a quantity of information or storage capacity equal to 1021 bytes or 1,000 exabytes or one sextillion (one long scale trilliard) bytes. As of April 2012, no storage system has achieved one zettabyte of information. The combined space of all computer hard drives in the world was estimated at 1,600 exabytes