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

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.

在過去的二十年中，分析技術已從一項小眾技術演變為關鍵的業務維度。這為非技術領導者帶來了挑戰和機會。如果我們想在數位時代保持競爭力，即使我們不完全理解底層的一切，我們也必須學會有效地領導分析專案以取得成功。《領導分析》提供了一個具體的策略，幫助讀者了解如何在複雜的數據驅動專案中最大化他們的影響力。

從商業角度來看，成為精通分析的人是明智的。如今，在分析領域領先的公司已經證明，他們從數據分析中獲得的洞察力直接帶來了數百萬甚至數十億的節省和增加市場機會。本書的目標是讓讀者能夠通過為專案設定成功的方式從分析投資中獲得價值。

即使作為領導者，我們做得再好，一些分析專案仍然會失敗，甚至大多數專案都會失敗，如果我們相信最新的統計數據。但是，通過遵循專業最佳實踐並從大數據專家的累積智慧中學習，我們可以大大提高成功的機會。本書匯集了來自數據科學、分析領導、商業智能和技術領導方面的專家的貢獻和知識。結果是一套堅實的理論、策略和技術，將提升任何分析投資的價值。

在《領導分析》中，首席執行官和其他領導者將獲得他們需要的知識和技能，通過支持整個組織保持分析導向，充分利用分析的潛力。不是每個人都需要成為一名編碼人員，但數據素養對於今天的商業領導者來說是必不可少的。本書支持商業領導者參與分析最佳實踐，支持技術和非技術團隊成員實現長期的分析增長和成功。

JOSEPH A. CAZIER, PHD, CAP (Certified Analytics Professional) is the Associate Director of the Center for AI and Data Analytics (AIDA), a Clinical Full Professor at Arizona State University and Emeritus Full Professor from Appalachian State University. Cazier also served as the chief analytics officer for HiveTracks.com, chair of the international working group for bee data standardization and is an editor for the Data and Analytics for Good journal. Cazier also served as vice chair for the development of the book's companion executive education course, Leading in Analytics, offered by the Professional Development Academy, where participants can hear directly from many of the experts interviewed for this book.

JOSEPH A. CAZIER, PHD, CAP（Certified Analytics Professional）是亞利桑那州立大學（Arizona State University）AI和數據分析中心（Center for AI and Data Analytics，簡稱AIDA）的副主任，同時也是亞利桑那州立大學的臨床全職教授和阿巴拉契亞州立大學（Appalachian State University）的名譽全職教授。Cazier還擔任HiveTracks.com的首席分析官，國際蜜蜂數據標準化工作組的主席，並擔任《Data and Analytics for Good》期刊的編輯。Cazier還擔任該書配套執行教育課程《Leading in Analytics》的副主席，該課程由專業發展學院（Professional Development Academy）提供，參與者可以直接聽取本書中訪談的許多專家的意見。