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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

Af: Eric Anderson, Florian Zettelmeyer Engelsk Hardback

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

Af: Eric Anderson, Florian Zettelmeyer Engelsk Hardback
Tjek vores konkurrenters priser
Lead your organization to become evidence-driven

Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.

The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.

Inside, you’ll find the essential tools to help you:

  • Develop a strong data science intuition quotient
  • Lead and scale AI and analytics throughout your organization
  • Move from “best-guess” decision making to evidence-based decisions
  • Craft strategies and tactics to create real impact
Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.



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Tjek vores konkurrenters priser
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Tjek vores konkurrenters priser
Lead your organization to become evidence-driven

Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.

The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.

Inside, you’ll find the essential tools to help you:

  • Develop a strong data science intuition quotient
  • Lead and scale AI and analytics throughout your organization
  • Move from “best-guess” decision making to evidence-based decisions
  • Craft strategies and tactics to create real impact
Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.



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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 352
ISBN-13: 9781260459142
Indbinding: Hardback
Udgave:
ISBN-10: 1260459144
Kategori: Erhvervsliv, virksomheder og ledelse
Udg. Dato: 7 jan 2021
Længde: 32mm
Bredde: 238mm
Højde: 164mm
Forlag: McGraw-Hill Education
Oplagsdato: 7 jan 2021
Forfatter(e): Eric Anderson, Florian Zettelmeyer
Forfatter(e) Eric Anderson, Florian Zettelmeyer

Kategori Erhvervsliv, virksomheder og ledelse

ISBN-13 9781260459142

Sprog Engelsk

Indbinding Hardback

Sider 352

Udgave

Længde 32mm

Bredde 238mm

Højde 164mm

Udg. Dato 7 jan 2021

Oplagsdato 7 jan 2021

Forlag McGraw-Hill Education

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