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Analytics in a Business Context

MICHAEL O'NEIL - The V2V Community
pubblicato da InsightaaS.com

Prezzo online:
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Analytics in a Business Context - the first book issued by the Vision to Value (V2V) Professional Best Practice Community - guides readers through the essential steps in establishing a fact-based culture.

The book leads off with an introduction by Information Builders senior executive Frank Vella, and crystallizes insights from more than 30 thought leaders into four chapters - Building the Analytics Business Case, Problem Solving: The Right Data for the Right Question, Monetizing Data and Establishing Analytics Within the Organization - that explore key issues in launching analytics within an organization and expanding the impact of data in corporate decision processes.

The chapter structures reflect the V2V content co-creation process. Each starts with analysis of how and why the topic is important to establishing analytics in a business context, defining the connection between analytics and business benefit. The chapters then explore best practices in the topic area: a variety of expert opinions identify the ways that private and public-sector organizations have successfully navigated key issues and delivered compelling outcomes. Each chapter concludes with advice on the path forward, outlining steps, milestones and metrics that the reader can use to calibrate their own analytics initiatives.

Analytics in a Business Context is an invaluable guide for both analytics practitioners who are seeking practical, real-world advice on how best to connect data with corporate environments, and for executives who understand that evidence-based business culture and practices are the way of the future, and who need a framework for establishing analytics disciplines within their organizations.

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Generi Informatica e Web » Linguaggi e Applicazioni » Scienza dei calcolatori » Comunicazione e reti informatiche , Economia Diritto e Lavoro » Management » Studi generali

Editore Insightaas.com

Formato Ebook con Adobe DRM

Pubblicato 27/01/2019

Lingua Inglese

EAN-13 9780993865282

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