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Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness

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Management number 201904730 Release Date 2025/10/08 List Price $10.20 Model Number 201904730
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The Science of Dream Teams is a data-driven approach to talent optimization that helps leaders hire, motivate, and manage people more efficiently and effectively. It uses sophisticated assessments, tools, and software to measure traits and characteristics that predict success, build finely tuned project teams, boost employee productivity, engagement, retention, and happiness, and unlock the hidden potential of individual workers and organizations.

\n Format: Hardback
\n Length: 240 pages
\n Publication date: 14 September 2021
\n Publisher: McGraw-Hill Education
\n


From the CEO of The Predictive Index, the leader in talent optimization, comes Moneyball for HR and people management. How do you find the perfect person for the job in a stack of hundreds of resumes? Why do some teams succeed while others—made up of equally talented people—stumble? If the quality of your workforce is your company's most important asset, then why are your managers still basing these critical decisions primarily on interviews and their gut instincts? In The Science of Dream Teams, Mike Zani details a data-driven approach to talent optimization that makes hiring, motivating, and managing people more efficient and effective than ever. It employs sophisticated assessments, tools, and software that enable leaders to: measure the traits and characteristics that predict success in a role or fit on a team build finely tuned project teams and well-balanced leadership teams boost employee productivity, engagement, retention—and happiness unlock the hidden potential of individual workers and your organization as a whole Whatever the business or industry, this game-changing approach has the power to unlock an unbeatable competitive advantage. The Science of Dream Teams will show you how.

\n Weight: 452g\n
Dimension: 161 x 239 x 25 (mm)\n
ISBN-13: 9781260473742\n \n


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