Additional information
by Pamela Baker (Author)
Learn to use, and not be used by, data to make more insightful decisions
The availability of data and various forms of AI unlock countless possibilities for business decision makers. But what do you do when you feel pressured to cede your position in the decision-making process altogether?
Decision Intelligence For Dummies pumps the brakes on the growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions. The book shows you how to achieve maximum flexibility by using every available resource, and not just raw data, to make the most insightful decisions possible.
In this timely book, you'll learn to:
- Make data a means to an end, rather than an end in itself, by expanding your decision-making inquiries
- Find a new path to solid decisions that includes, but isn't dominated, by quantitative data
- Measure the results of your new framework to prove its effectiveness and efficiency and expand it to a whole team or company
Perfect for business leaders in technology and finance, Decision Intelligence For Dummies is ideal for anyone who recognizes that data is not the only powerful tool in your decision-making toolbox. This book shows you how to be guided, and not ruled, by the data.
Back Jacket
Bundle human intelligence with machine intelligence
Are you looking for a way to use your company's data to inform--but not overwhelm--your decisions? This book offers insight into how to combine the best of human and machine intelligence to make rock-solid decisions based on the best available data and talent. Use every available resource, including human ones, to find new solutions to old problems. Learn how to use data as it was meant to be used: as a means to an end, and not an end in itself. Discover how to use data as a guide, instead of following it blindly, with this invaluable book.
Inside...
- Identify relevant data patterns
- Put outcomes--not data--first
- Craft the perfect question
- Design a path forward
- Build your decision toolbox
- Use, but verify, AI
- Make decisions at scale
- Learn why AI projects fail
Author Biography
Pam Bakeris a veteran business analyst and journalist whose work is focused on big data, artificial intelligence, machine learning, business intelligence, and data analysis. She is the author of Data Divination - Big Data Strategies.
