Anticipatory analytics - Bob Hallahan VP Xavient

Anticipatory analytics - Bob Hallahan VP Xavient

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  Whitepaper Anticipatory Analytics isthe new ultimate technology For Cable, Wireless and OTT operators By Bob Hallahan - Vice President of Technology; Xavient Information Systems Don’t just attempt to predict what might happen with your business, anticipate what will happen and act on it before it occurs to prevent and avoid costs. Anticipatory Analytics – Moving Predictive analytics beyond the horizon to achieve truly optimal voice, data, Video and Digital OTT service delivery and support. Analytics are only useful if the resulting information is accurate, timely, and actionable. In the Digital Media Cable, Telecom and OTT sectors, the most valuable operational insight will enable business decision makers to accurately anticipate not only when and where a network problem will occur, but which customers will be affected, how those customers will respond, and what preventative actions they can take now, which affect customer experience, operational costs, and net profit. Traditionally most Cable and Telecom operators have monitored their networks looking for problems after they have occurred, then react to resulting service delivery problems only when customers call in to report a problem with their service (Internet, Video, Voice, and OTT). In an attempt to shift from a reactive service assurance model to a more proactive model, Operators have been deploying analytics solutions to mine historical network and service delivery data
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  to predict whenand where a problem might occur. The resulting analytics are then used to escalate and prioritize upgrades, improvements, maintenance, and tuning of service delivery networks from the network core (headend) to the customer premise and all connected service consuming IP devices. Analytics technology has been around for years enabling business’s to gain strategic insight into the performance of their business operations, as well as the behavior and trends of their existing and target customer base. In recent years with the exponential growth mobility e-commerce and ubiquity of IP devices and big data, it has become possible to apply the science of statistical probability to deliver predictive analytics to business decision makers giving them precise insights into market, competitive and customer behavior. Predictive analytics provides optimal value when historical past results are delivered with sufficient lead time to take proactive action to either prevent a problem, or to seize on a time sensitive opportunity. Business can gain a considerable advantage further in front or ahead of a problem or opportunity you can get, which leads to the evolution and next generation of analytics.
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  Anticipatory Analytics (AA),is taking predictive analytics to an exponentially new level of advanced early insight into your business operations and customer experience. AA is shifting the view from the past to the future, presenting a model of what is likely to happen based on what happened in the past and what is happening now in real-time with your operations (network), services, and customers. Anticipatory Analytics are already being applied to advance safety of Automobiles, providing drivers early warnings of a potential accident ahead, or in aviation and healthcare.
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  Almost all largecompanies are already using predictive analytics in some form, not all have tapped into the power of anticipatory analytics, which can identify changes in companies before they happen. The key to success in this brave new world of Anticipatory Analytics is precise understanding of all aspects of the delivery of service to your customers and the life blood of data that enables and support these services. This new capability requires knowing what data to monitor in real-time to feed complex algorithms which can pump out anticipation indictors of the likelihood that a problem will occur with the delivery network, and the probability that specific customers will respond in a certain way resulting in an avoidable set of costs such as expensive customer service calls, truck rolls, and potential customer churn.
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  Xavient Information Systemshas recently developed and deployed the first and most highly successful Anticipatory Analytics solutions for the Digital Media Broadcast sector, enabling operators to gain valuable new insight into their real time service delivery network, services and customers at risk, and recommendations for preventative action. Xavient’s Anticipatory Analytics solution is enabling operators to lower Opex while gaining a real competitive advantage, raising the bar on customer experience, service delivery, while reducing churn and increasing profits through optimized service assurance. About the Author Bob Hallahan, Vice President of Technology- Xavient Information Systems Robert (Bob) brings over 25 years of extensive executive level strategic consulting and hands-on experience designing and developing advanced OSS/BSS solutions enabling and supporting advanced revenue generating services for all Tier-1 US 3/4G Wireless, Cable MSO, and Direct Broadcast Satellite networks, as well as numerous international operators. Robert holds specialized expertise in setting strategic technical vision, operational optimization, transformation, solution and data architecture, and orchestrating World Class product development enabling deployment of next generation service offerings. Robert holds an MBA in Marketing & Finance from Marymount University, in Arlington, VA, and a Bachelor of Science in MIS Management Information Systems, from the University of Maryland, in College Park Maryland. Contact Us Xavient Information Systems 2125 B Madera Road; Simi Valley, C.A 93065. Main Line: 1.805.955.4111, Fax Line: 1.805.955.4144 Visit Us: www.xavient.com