Leading in Analytics: The Seven Critical Tasks for Executives to Master in the Age of Big Data


Leading in Analytics: The Seven Critical Tasks for Executives to Master in the Age of Big Data (Wiley and SAS Business)
by 作者: Ph.D. Cazier, Joseph A. (Author)
Publisher Finelybook 出版社: John Wiley & Sons Inc
Edition 版本: 1st
Publication Date 出版日期: 2023-11-07
Language 语言: English
pages 页数: : 300 pages
ISBN-10 书号: 1119800412
ISBN-13 书号: 9781119800415


Book Description

A step-by-step guide for business leaders who need to manage successful big data projects

Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right.

Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book.

  • Ensure the success of analytics initiatives, maximize ROI, and draw value from big data
  • Learn to define success and failure in analytics and big data projects
  • Set your organization up for analytics success by identifying problems that have big data solutions
  • Bring together the people, the tools, and the strategies that are right for the job

By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.

From the Inside Flap

Over the past two decades, analytics has evolved from a niche technology to a critical business dimension. This presents a challenge and an opportunity for non-technical leaders. If we want to remain competitive in the digital age, we must learn to effectively lead analytics initiatives to success, even if we don’t understand everything that’s going on under the hood. Leading in Analytics offers a concrete strategy for doing just that, helping readers understand how to maximize their influence in complex data-driven projects.

From a business perspective, becoming analytics-savvy makes good sense. Today’s leading companies in the area of analytics have documented millions and even billions in savings and increased market opportunities directly traceable to insights generated from data analytics. The goal of this book is to enable readers to extract value from analytics investment by setting initiatives up for success.

Even if we do everything right as leaders, some of our analytics projects will still fail–even the majority, if we believe the latest statistics. But we can dramatically improve our odds of success by following professional best practices and learning from the accumulated wisdom of big data experts. This book draws together contributions and knowledge from experts in data science, analytics leadership, business intelligence, and technology leadership. The result is a solid set of theories, strategies, and techniques that will boost the value of any analytics investment.

In Leading in Analytics, CEOs and other leaders will gain the knowledge and skills they need to take advantage of the potential of analytics by supporting the entire organization in maintaining an analytics orientation. Not everyone needs to be a coder, but data literacy is a must for today’s business leaders. This book supports business leaders in engaging with analytics best practices, supporting technical and non-technical team members toward long-term analytics growth and success.


From the Back Cover

Over the past two decades, analytics has evolved from a niche technology to a critical business dimension. This presents a challenge and an opportunity for non-technical leaders. If we want to remain competitive in the digital age, we must learn to effectively lead analytics initiatives to success, even if we don’t understand everything that’s going on under the hood. Leading in Analytics offers a concrete strategy for doing just that, helping readers understand how to maximize their influence in complex data-driven projects.

From a business perspective, becoming analytics-savvy makes good sense. Today’s leading companies in the area of analytics have documented millions and even billions in savings and increased market opportunities directly traceable to insights generated from data analytics. The goal of this book is to enable readers to extract value from analytics investment by setting initiatives up for success.

Even if we do everything right as leaders, some of our analytics projects will still fail—even the majority, if we believe the latest statistics. But we can dramatically improve our odds of success by following professional best practices and learning from the accumulated wisdom of big data experts. This book draws together contributions and knowledge from experts in data science, analytics leadership, business intelligence, and technology leadership. The result is a solid set of theories, strategies, and techniques that will boost the value of any analytics investment.

In Leading in Analytics, CEOs and other leaders will gain the knowledge and skills they need to take advantage of the potential of analytics by supporting the entire organization in maintaining an analytics orientation. Not everyone needs to be a coder, but data literacy is a must for today’s business leaders. This book supports business leaders in engaging with analytics best practices, supporting technical and non-technical team members toward long-term analytics growth and success.

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