Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions
Augmented Analytics isn't just another book on data and analytics; it's a holistic resource for reimagining how your entire organization interacts with information so that it becomes insight-driven.

Go beyond traditional, limited ways of making sense of data. Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make informed, data-driven decisions.

Be aware: This book is not just about adding another forecast to your dashboard. It goes deeper, presenting a holistic approach to fostering a data-driven culture of analytics excellence throughout your organization.

You'll explore:

  • Key elements and building blocks of augmented analytics, including its benefits, potential challenges, and relevance in today's business landscape
  • Best practices for preparing and implementing augmented analytics in your organization, including analytics roles, mindset, toolset, and skill set
  • Best practices for data enablement, liberalization, trust, and accessibility
  • How to apply a use case approach to drive business value and use augmented analytics as an enabler, with selected case studies

Drawing on extensive, real-world experience leading large organizations through this transformation, the authors provide a clear, actionable path to accelerate your organization's journey to analytical excellence.

1145825203
Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions
Augmented Analytics isn't just another book on data and analytics; it's a holistic resource for reimagining how your entire organization interacts with information so that it becomes insight-driven.

Go beyond traditional, limited ways of making sense of data. Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make informed, data-driven decisions.

Be aware: This book is not just about adding another forecast to your dashboard. It goes deeper, presenting a holistic approach to fostering a data-driven culture of analytics excellence throughout your organization.

You'll explore:

  • Key elements and building blocks of augmented analytics, including its benefits, potential challenges, and relevance in today's business landscape
  • Best practices for preparing and implementing augmented analytics in your organization, including analytics roles, mindset, toolset, and skill set
  • Best practices for data enablement, liberalization, trust, and accessibility
  • How to apply a use case approach to drive business value and use augmented analytics as an enabler, with selected case studies

Drawing on extensive, real-world experience leading large organizations through this transformation, the authors provide a clear, actionable path to accelerate your organization's journey to analytical excellence.

59.99 In Stock
Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions

Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions

Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions

Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions

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Overview

Augmented Analytics isn't just another book on data and analytics; it's a holistic resource for reimagining how your entire organization interacts with information so that it becomes insight-driven.

Go beyond traditional, limited ways of making sense of data. Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make informed, data-driven decisions.

Be aware: This book is not just about adding another forecast to your dashboard. It goes deeper, presenting a holistic approach to fostering a data-driven culture of analytics excellence throughout your organization.

You'll explore:

  • Key elements and building blocks of augmented analytics, including its benefits, potential challenges, and relevance in today's business landscape
  • Best practices for preparing and implementing augmented analytics in your organization, including analytics roles, mindset, toolset, and skill set
  • Best practices for data enablement, liberalization, trust, and accessibility
  • How to apply a use case approach to drive business value and use augmented analytics as an enabler, with selected case studies

Drawing on extensive, real-world experience leading large organizations through this transformation, the authors provide a clear, actionable path to accelerate your organization's journey to analytical excellence.


Product Details

ISBN-13: 9781098151720
Publisher: O'Reilly Media, Incorporated
Publication date: 07/09/2024
Pages: 289
Product dimensions: 7.00(w) x 9.19(h) x 0.00(d)

About the Author

Tobias Zwingmann is a leading expert, speaker, and author on artificial intelligence. In his role as managing partner of the German AI advisory firm RAPYD.AI, he helps B2B companies around the world innovate and grow their businesses with AI and machine learning. Prior to cofounding RAPYD.AI, he worked for more than 10 years in a corporate setting where his responsibilities included creating a company-wide data strategy and building out data science use cases. He also authored the book AI-Powered Business Intelligence (O’Reilly).

Tobias Zwingmann is an experienced Senior Data Scientist and Managing Partner at RAPYD.AI, a Germany-based AI startup focused on providing easy access to world-class AI services. His mission is to help companies adopt machine learning and AI solutions faster while creating meaningful business impact and reducing the risk of project failure. Before founding RAPYD.AI, he has worked for more than 10 years in a corporate setting where his responsibilities included creating a company-wide data strategy and building out data science use cases. He is author of the book AI-Powered Business Intelligence (O'Reilly).
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