Driving the Future of Data Science

May 3, 2013

Driving the Future of Data Science. Data science is a team sport. Collaboration inside and outside your organization is the ultimate Big Data technique. Success depends on having a collaboration platform and solving the number one problem of the Big Data era: the supply and demand for data scientists. Learn how you can take action today to accelerate the success of your data science efforts. Data science is an evolution beyond business intelligence. It is a use-case-driven, iterative and agile exploration of granular data, with the intent to derive insights and operationalize them into user-facing applications. What is Data Science? While Big Data emphasizes volume, diversification, low latencies, and ubiquity, data science applies predictive modeling, machine learning, parallelized and in-database algorithms, Map Reduce, and model operationalization to these vast stores of information. Pivotal Data Labs Rapid change to the business climate demands an agile approach to data science. Pivotal Data Labs brings Pivotal Data Scientists to your site to help you develop an analytics roadmap and quickly drive results through data studies, analysis, and model development. Disruptive Data The data-driven enterprise represents nothing short of a paradigm shift. Businesses must become predictive enterprises, rapidly obtaining and reacting to the valuable and relevant insights within their vast stores of data. To prepare, enterprises require the right mix of technologies, skilled practitioners, and expert services. To learn more about the Pivotal Data Science team, visit: http://www.pivotal.io/agile

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