Many organizations have jumped on the buzzword-laden big data movement, but few analytics organizations are successfully delivering actionable insights that make it further than a Keynote or PowerPoint presentation. Join Craig Rowley to learn why successful analytics projects must also consider the human element. You’ll explore lessons learned from a collection of projects from the past decade, focusing on high-level details and the methods used to influence decision makers through compelling storytelling and actionable, laser-focused ROI-driven data science.
Craig Rowley is a data solutions architect and scientist at Columbia Sportswear. Craig seeks to inform the art of business through data and science, sifting through petabytes of information to find the “little data”—those nuggets of information and insight—that help deliver the right products and experiences to the right consumers at the right time…and more importantly, to do the right thing for consumers by protecting their right to privacy on a global, comprehensive, and even predictive scale. Luck and great opportunities have helped him deliver patents on streaming behavioral data models, adaptive augmented reality applications, location-aware engagement intelligence, in-the-moment predictive algorithms for wearable devices, fraud detection and prediction platforms, and personalized, connection-based recommenders. His specialities include petabyte-scale dataflow execution architectures to enable full-loop data science, data exploration and modeling of semistructured, unstructured, and structured data, inventing new machine learning algorithms, heuristics, and applications. His interests include science fiction movies and books, video games, and learning.
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