Leading With Data
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Leading With Data
"Goldring and Berends provide practical and strategic counsel on what data should be collected, how data can be productively analyzed, and who should be involved. Their book positions this advice deftly in research on leadership and organizational change. As school leaders confront the challenges of meeting the needs of all students through continuous school improvement, they will find this book an essential resource." —Willis D. Hawley, Professor of Education and Public Policy University of Maryland A comprehensive, practical guide to using data effectively for school improvement! For any educator focused on enhancing student outcomes and schoolwide performance results, knowing how to collect appropriate data isn′t necessarily enough. Understanding how to analyze and use data as a pathway to improvement is the key. This comprehensive, hands-on guidebook discusses the essential statistical and assessment information that principals need to know, what types of data to look at, how to analyze the information, and how to use what they′ve learned to make critical choices for teaching and learning. Full of examples and recommendations, this book illustrates proactive strategies for collecting data and generating change while focusing on other measures of learning and school organization, including data about professional development, allocation of resources, family involvement, and community standards. Part of the Leadership for Learning series, this resource: Provides leaders with support in developing and sustaining schoolwide capacity for continuous improvement Links data-based decision making with accountability issues and shared mission and goals Includes numerous examples and cases, a glossary, school improvement template, sample forms, and data tools Leading With Data demonstrates how administrators can apply knowledgeable analysis of meaningful data for continuous, sustainable, and significant school improvement.
Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value
Author: Eric Anderson
language: en
Publisher: McGraw Hill Professional
Release Date: 2020-11-23
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.
Minding the Machines
Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success. In this book, you’ll discover: A focus on the three pillars of strategy, process, and people and their role in the iterative and ongoing effort of building an analytics team Repeated emphasis on three guiding principles followed by successful analytics teams: start early, go slow, and fully commit The importance of creating clear goals and objectives when creating a new analytics unit in an organization Perfect for executives, managers, team leads, and other business leaders tasked with structuring and leading a successful analytics team, Minding the Machines is also an indispensable resource for data scientists and analysts who seek to better understand how their individual efforts fit into their team’s overall results.