finelybook
Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions
by 作者: Willi Weber (Author), Tobias Zwingmann (Author)
Publisher Finelybook 出版社: O’Reilly Media
Edition 版本: 1st
Publication Date 出版日期: 2024-07-09
Language 语言: English
pages 页数: : 289 pages
ISBN-10 书号: 1098151720
ISBN-13 书号: 9781098151720
Book Description
Augmented Analytics isn’t just another book on data and analytics; it’s a holistic resource for reimagining the way your entire organization interacts with information to become insight-driven.
Moving 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 better decisions.
You’ll find more in these pages than just how to add another forecast to your dashboard; you’ll discover a complete approach to achieving analytical excellence in 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, workflows, mindsets, tool sets, and skill sets
- 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
This book provide a clear, actionable path to accelerate your journey to analytical excellence.
About the Author
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).
