Analytics in a Business Context

Practical guidance on establishing a fact-based culture

Nonfiction, Computers, Advanced Computing, Management Information Systems, Business & Finance, Management & Leadership, Management Science, Application Software, Business Software
Cover of the book Analytics in a Business Context by Michael O'Neil, The V2V Community, InsightaaS.com
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Author: Michael O'Neil, The V2V Community ISBN: 9780993865282
Publisher: InsightaaS.com Publication: January 27, 2019
Imprint: InsightaaS Press Language: English
Author: Michael O'Neil, The V2V Community
ISBN: 9780993865282
Publisher: InsightaaS.com
Publication: January 27, 2019
Imprint: InsightaaS Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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