Book description
As your business tries to make sense of today’s staggering amount of structured and unstructured data, traditional analytics will take you only so far. The key to success over the next few years will depend on augmented analytics, a method that embeds machine learning and natural language processing (NLP) in the process. This report explains how augmented analytics can help you uncover hidden insights, predict results, and even prescribe solutions.
Author Alice LaPlante provides best practices for deploying augmented analytics, along with real-world case studies that show you how to take full advantage of this method. IT professionals, business managers, and CFOs will learn ways to democratize data use among business users and executives, using a self-service model. The future belongs to those who can get more from their data. This report shows you how.
- Get a primer on the key components and learn how they work together
- Delve into the benefits of—and roadblocks to—adopting augmented analytics
- Learn how companies use this method in marketing, sales, finance, and human resources
- Examine case studies of companies including Accenture and Riverbed
Table of contents
-
What Is Augmented Analytics?
- Executive Summary
- A Growing Market
- Augmented Analytics: A Primer
- Benefits and Roadblocks of Augmented Analytics
- Who Is Using Augmented Analytics?
-
Best Practices for Augmented Analytics
- Mandate Data-Driven Decision Making from the Top Down
- Empower and Trust Users Throughout Functional Areas and Organizational Levels
- Balance Self-Service with Centralized Governance
- Ensure a “Single Source of Truth”
- Visualize Big, But Think Small
- Consider Moving to the Cloud
- Empower Everyone with Access
- Real-World Uses of Augmented Analytics
- Riverbed
- Conclusion
Product information
- Title: What Is Augmented Analytics?
- Author(s):
- Release date: October 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492058441
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