Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics

Learn all you need to know about seven key innovations disrupting business analytics today. These innovations―the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics―are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities.

Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization.

Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.

What You’ll Learn

• Discover how the open source business model works and how to make it work for you
• See how cloud computing completely changes the economics of analytics
• Harness the power of Hadoop and its ecosystem
• Find out why Apache Spark is everywhere
• Discover the potential of streaming and real-time analytics
• Learn what Deep Learning can do and why it matters
• See how self-service analytics can change the way organizations do business

Who This Book Is For

Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Table of Contents

Chapter 1: Fundamentals
Chapter 2: A Short History of Analytics
Chapter 3: Open Source Analytics
Chapter 4: The Hadoop Ecosystem
Chapter 5: In-Memory Analytics
Chapter 6: Streaming Analytics
Chapter 7: Analytics in the Cloud
Chapter 8: Machine Learning
Chapter 9: Self-Service Analytics
Chapter 10: Handbook for Managers