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Shifting the Balance : How Top Organizations Beat the Competition by Combining Intuition with Data.
- Format:
- Book
- Author/Creator:
- Schrutt, Mark.
- Language:
- English
- Subjects (All):
- Big data.
- Business enterprises.
- Data mining.
- Decision making.
- Intuition.
- Physical Description:
- 1 online resource (253 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Toronto : ECW Press, 2021.
- Summary:
- This book explores how decision-making is changing in the digital economy. The role of data and intuition will continue to rebalance as analytics take on a more significant role in how companies develop and execute strategy. Case studies explore best-in-class organizations from various sectors including pro sports, media, and finance.
- Contents:
- Front Cover
- Copyright
- Dedication
- Contents
- Foreword
- Introduction
- Part 1: The Rise of Data
- Chapter 1: Shifting Winds
- Chapter 2: Informed, Enhanced, and Driven Data
- Chapter 3: The Battle Between Data and Intuition
- Chapter 4: Data's Move to the Front
- Chapter 5: Big Data and Untapped Insights
- Chapter 6: Exploding the Data Universe
- Chapter 7: The Moneyball Question
- Part 2: Rewriting the Rules of Business Decision-making
- Chapter 8: Forces at Work
- Chapter 9: The Redesign of Decision-making
- Chapter 10: Big Data's Role in Industry Disruption
- Chapter 11: The Consequences of Being Information-poor
- Part 3: How to Make a Good Decision
- Chapter 12: The Baseline for Data-drivenDecision-making
- Chapter 13: Having a Direct Connection with Customers
- Chapter 14: Looking Forward with Data
- Chapter 15: Finding Balance Between Data and Intuition
- Part 4: Putting Data to Work
- Chapter 16: What Business Can Learn from Sports about Data (and Vice Versa)
- Chapter 17: The Use of Data in Canadian Government Decision-making
- Chapter 18: Blueprint for Data-driven Organizations
- Chapter 19: Rising Above the Challenges to a Data-driven Model
- A Few Last Thoughts on Data and Decision-making
- Back Cover.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781773057026
- 1773057022
- OCLC:
- 1221001904
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