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The Analytics Lifecycle ToolkitCondition: BRAND NEW ISBN: 9781119425069 Year: 2018 Publisher: John Wiley & Sons Inc (US) Pages: 464 Description: PRAISE FOR THE ANALYTICS LIFECYCLE TOOLKIT "Full of wisdom and experience about analytics, this book's greatest strength is its lifecycle approach. From framing the question to getting results, you'll learn how analytics can really have an impact on organizations." Thomas H. Davenport, Ph. D., Author of Competing on Analytics and Only
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Condition: BRAND NEW
ISBN: 9781119425069
Year: 2018
Publisher: John Wiley & Sons Inc (US)
Pages: 464


Description:


PRAISE FOR THE ANALYTICS LIFECYCLE TOOLKIT


"Full of wisdom and experience about analytics, this book's greatest strength is its lifecycle approach. From framing the question to getting results, you'll learn how analytics can really have an impact on organizations."
Thomas H. Davenport, Ph.D., Author of Competing on Analytics and Only Humans Need Apply


"This book condenses a lot of deep thinking on the wide field of analytics strategy. Analytics is not easy there are no quickie AI/BI/ML shortcuts to understanding your data, your business, or your processes. You have to build a diverse team of talent. You have to respect the hazards of 'fishing expeditions' that may need false-discovery-rate adjustments. You should consider designed experiments to get the true behavior of a process, something that observational data may hint at, but not provide complete understanding. There are dimensions of data wrangling, feature engineering, and data sense-making that all call for different skills. But with deep investment in analytics comes deep insight into processes and tremendous opportunity for improvements. This book puts analytics in the context of a strategic business system, with all its dimensions."
John Sall, Ph.D., SAS co-founder and chief architect of JMP


"The Analytics Lifecycle Toolkit provides a clear prescription for organizations aiming to develop a high-performing and scalable analytics capability. Greg organizes and develops with unusual clarity some of the critical nontechnical aspects of the analytics value-chain, and links them with the technical as building bloc

The Analytics Lifecycle Toolkit

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