AI-Enabled Analytics for Business: A Roadmap for Becoming an Analytics Powerhouse 1st Edition by Lawrence S. Maisel, Robert J. Zwerling, Jesper H. Sorensen 9781119736097 1119736099

AI-Enabled Analytics for Business: A Roadmap for Becoming an Analytics Powerhouse 1st Edition Lawrence S. Maisel – Ebook Instant Download/Delivery ISBN(s): 9781119736080,9781119736103,9781119736097, 1119736099

Product details:

• ISBN 10:1119736099 
• ISBN 13: 9781119736097
• Author: Lawrence S. Maisel, Robert J. Zwerling, Jesper H. Sorensen 

We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance.

Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future.

Table contents:

PART I: Fundamentals
CHAPTER 1: A Primer on AI-Enabled Analytics for Business
AI AND ML—SIMILAR BUT DIFFERENT
MACHINE LEARNING PRIMER
ANALYTICS VS. ANALYSIS
BI AND DATA VISUALIZATION VS. ANALYTICS
BIASED VS. UNBIASED
AI AND ROI
CONCLUSION
NOTES
CHAPTER 2: Why AI-Enabled Analytics Is Essential for Business
COMPETITIVENESS
HUMAN JUDGMENT AND DECISION-MAKING
CONCLUSION
NOTES
CHAPTER 3: Myths and Misconceptions About Analytics
DATA SCIENTIST MISCONCEPTION AND MYTH
SHOT IN THE DARK
BASS-ACKWARD
AI IS NOT IT
BIG IS NOT BETTER
NOT NOW
NOTE TO EXECUTIVES
CONCLUSION
NOTES
CHAPTER 4: Applications of AI-Enabled Analytics
FINANCE
SALES
MANUFACTURING AND SUPPLY CHAIN
DEMAND PLANNING AND INVENTORY
CONCLUSION
NOTES
PART II: Roadmap
CHAPTER 5: Roadmap for How to Implement AI-Enabled Analytics in Business
CULTURE
MINDSET
PEOPLE
PROCESS
SYSTEMS
THE ROADMAP FOR IMPLEMENTING AI-ENABLED ANALYTICS
LAUNCHING THE CULTURE OF ANALYTICS
CONCLUSION
NOTES
CHAPTER 6: Executive Responsibilities to Implement Analytics
EXECUTIVE COMMITMENT
ANALYTICS CHAMPION
CHANGE MANAGEMENT
CONCLUSION
NOTES
CHAPTER 7: Implementing Analytics
DEFINE THE PROBLEM
SELECT AN ANALYTICS SOFTWARE POC VENDOR
PERFORM THE ANALYTICS POC
BENCHMARK PEOPLE SKILLSET
SCALE ANALYTICS
ILLUSTRATIVE EXAMPLE OF THE ANALYTICS POC
ANALYTICS POWERHOUSE
CONCLUSION
NOTE
CHAPTER 8: The Role of Analytics in Strategic Decisions
HOW WE TRICK OURSELVES
TACTICS THAT AFFECT STRATEGY
KEY PERFORMANCE INDICATORS (KPIs) AND STRATEGIC OBJECTIVES
THE ANALYTICS SCORECARD™
CONCLUSION
NOTES
PART III: Use Cases
CHAPTER 9: Cases of Analytics Failures from Deviation to the Roadmap
MINDSET COMMITMENT
INSUFFICIENT PEOPLE AND PROCESSES
TOOLBOX CONFUSION
CONCLUSION
NOTE
CHAPTER 10: Use Case: Grabbing Defeat from the Jaws of Victory
POC RESULTS—REALIZING THE THREE GOALS
THE ROI OF AI
FAILURE IS A CHOICE
NOTE
CHAPTER 11: Use Case: Incremental Improvements to Gain Insights
STARTING ANALYTICS
TEST AND LEARN
ASSESSING ANALYTICS PERSONAS
MOVING FORWARD
NOTE
CHAPTER 12: Use Case: Analytics Are for Everyone
THE ROAD TO ANALYTICS
STEPPING INTO ANALYTICS
ANALYTICS IS FOR ALL

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