Overview
*Intelligent Analytics: [subtitle TBA]* provides an easy-to-follow tutorial approach to analytics, from initial business requirements to building algorithmic engines. The key is the introduction of the concept of the smart domain, covering analytics in a systematic manner from edge devices, to hubs, gateways, and the cloud. The book also explores how to develop and implement intelligent analytics via product life cycles, insuring that analytic output is robust and rich in ROI for any company employing this methodology. As more companies become become players in the markets connected to the Internet of Things, analytics will require an intelligent system engineering approach to drive a healthier business. The book starts by a thought-provoking exploration of truly what is analytics? , and then delves much deeper, with how-to chapters on creating, developing, and implementing analytics, what maturity level a business is (to apply the correct level of analytics), and specific case studies. It removes common misconceptions - that analytics is a black hole that only data scientists need to work with, and that infrastructure, framing the data problem, and reacting to the data are just as important as the algorithms themselves. Written by two senior scientists at Intel, the book is the perfect foundational resource for system architects, business developers, data scientists, data architects, and strategic thinkers who want to evolve their company from Analytics 1.0 (Traditional Analytics) to Analytics 2.0 (Big Data) and Analytics 3.0 (Deriving Business Value).
Full Product Details
Author: Celeste Fralick ,
Sarah Kalicin
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: APress
Edition: 2015 ed.
ISBN: 9781484201640
ISBN 10: 1484201647
Pages: 280
Publication Date: 06 October 2016
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Available To Order
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Author Information
Celeste Fralick is a senior technologist and Principal Engineer at Intel Corporation. She is currently focused in strategic data analytics and its architecture in the embedded, Internet of Things markets, and has been a technical leader in Intel's biotech strategies, product qualification, and life cycle programs. Active in various industry boards, journal editorial staffs, and consortiums, her 34 year experience spans semiconductor process and product development, regulatory, medical device, analytics, and quality /reliability technology. Celeste holds a Ph.D. in Biomedical Engineering from Arizona State University, with a concentration in predictive analytics.
