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.
Publisher resources
Table of contents
- Foreword
- Preface
- 1. The Business Transformation
- 2. The Analytics Problem
-
3. Understanding Augmented Analytics
- Definition
- The Five I’s of Augmented Analytics
- Overcoming the Limitations of Traditional Analytics Approaches
- Augmented Workflows
- The Benefits of Augmented Analytics
- Overcoming Bias
- Key Enablers of Augmented Analytics
- The Limitations of Augmented Analytics
- The Challenges of Augmented Analytics
- Conclusion
- 4. Preparing People and the Organization for Augmented Analytics
-
5. Augmented Workflows
- Types of Workflow Augmentation
-
The Analytics Use-Case Approach: Finding Workflows to Augment
- Phase 1. Idea: The Initial Spark
- Phase 2. Concept: Structuring the Idea
- Phase 3. Proof of Concept: Testing the Waters
- Phase 4. Prototyping: Shaping the Concept
- Phase 5. Pilot: The Test Run
- Phase 6. Product: Full Deployment
- Making the Make-or-Buy Decision
- Decision Scenarios
- Overarching Success Factors
- Balancing Automation and Integration
- The Use-Case Library
- Technical Requirements for Implementing AA
- Conclusion
- 6. Augmented Frames
- 7. Applied Examples
- Index
- About the Authors
Product information
- Title: Augmented Analytics
- Author(s):
- Release date: May 2024
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781098151720
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