Big Data Hype (and Reality) - Gregory Piatetsky-Shapiro. The potential of “big data” has been receiving tremendous attention lately, and not just on HBR’s site.
With interest in the topic growing exponentially, it has been the focus of countless articles and perhaps too many meetings and conferences. But to the extent that big data will have big impact, it might not be in the classic territory addressed by analytics. Most applications of data mining and analysis have been, at their hearts, attempts to get better at prediction.
Decision-makers want to understand the patterns in the past and the present in order to anticipate what is most likely to happen in the future. As big data offers unprecedented awareness of phenomena — particularly of consumers’ actions and attitudes — will we see much improvement on the predictions of previous-generation methods? Film ratings. In just two weeks, several teams had beaten the Netflix algorithm, although by very small amounts, but after that, progress was surprisingly slow. Customer attrition. Data Services - Informatica. Data virtualization makes 'information as a service' a reality: Forrester. Enterprise architects are getting busier by the month.
Not only do they need plan out service-oriented architecture and cloud services at the application level, but need to start considering how data can fit into the agile, flexible organization -- especially since many are starting to become overwhelmed by multi-terabytes and even petabytes' worth of data. Data virtualization, now enabled by today's generation of solutions, is seen by many as the latest great enabler for getting information out across the enterprise. Once data virtualization takes hold, 'Information as a Service' -- in which data and analysis is available, on demand, to anyone who needs it -- becomes more of a reality.
But does anyone really "get" data virtualization and IaaS? Yes, says Forrester Research's Brian Hopkins, who recently published a report with a set of case studies on everything you need to know about data virtualization. However, it's going to take time to get there. What a Big-Data Business Model Looks Like - R “Ray” Wang. By R “Ray” Wang | 10:00 AM December 6, 2012 The rise of big data is an exciting — if in some cases scary — development for business.
Together with the complementary technology forces of social, mobile, the cloud, and unified communications, big data brings countless new opportunities for learning about customers and their wants and needs. It also brings the potential for disruption, and realignment. Organizations that truly embrace big data can create new opportunities for strategic differentiation in this era of engagement. Those that don’t fully engage, or that misunderstand the opportunities, can lose out. There are a number of new business models emerging in the big data world. Sailthru. Predictive Analytics Services. Contextual Marketing. Globys combines data science and advanced marketing techniques to uncover customer motivations and then dynamically trigger the right message at the right time in the right context The value that this approach to contextual marketing offers is helping carriers to monetize their data by addressing customer needs in the specific context of a moment.”Yankee Group Globys’ Contextual Marketing solutions enable mobile operators to leverage big data and advanced marketing to make a paradigm shift on how they market to their existing customers.
The Globys solutions are based on unique, patent-pending techniques developed specifically to address the needs of targeted one-to-one contextual marketing. Our solutions utilize longitudinal analysis to monitor and automatically model individual customer behavior over time, and then based on real-time decisioning, trigger personalized and contextual marketing campaigns. Learn More About Our Contextual Marketing Solutions Industry Perspective CMO Council. Welcome to Yurbi - Affordable Enterprise Business Intelligence. Mobile Application Performance Analysis.
Appcelerator Analytics Appcelerator Analytics, part of the Appcelerator Platform, gives you deep, real-time insight and visibility into how your published mobile apps are performing, what features are being used the most, and where there are opportunities for improvement to provide the most compelling experience.
By understanding your users’ behavior, their preferences and application usage, you can continue to refine the application for continued successful adoption. With Appcelerator Analytics, user and session application events are automatically added to your mobile apps. User analytics are central for measuring top-line application adoption metrics such as the tracking of new, active and total users over time, by geography, or by platform over a specific time period.Session analytics measure engagement with your application. Gnip - Providing Social Media Data for the Enterprise. Campaign Management, Email Marketing, Web Content Management, Social Media Monitoring: Alterian.
DynamoDB. Signal Products - Opera Solutions. Www.birst.com/sites/default/files/ds_birstagilebusinessanalytics_finalweb012413.pdf.