Leading With Data


Leading With Data
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Leading A Data Driven Organization


Leading A Data Driven Organization
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Author : Gordon Summers
language : en
Publisher:
Release Date : 2019-02-08

Leading A Data Driven Organization written by Gordon Summers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-08 with categories.


Leading a Data Driven Organization - A Practical Guide to Transforming Yourself and Your Organization to Win the Data Science Revolution -- is a book designed for all levels of leaders within an organization. Filled with stories and real-world examples, the book walks through the concepts of data science with an eye for what leaders need to know. From "What Data Science Does" to "Organizational Challenges," the book makes sure you "Know if the Answers are Right." With sections titled, "How Data Science is Done" and "Time is Not Your Friend" you get straight talk about business challenges and opportunities. Whether you are faced with your first data science project or you are just thinking about how to use the latest data science tools for your company's benefit, this book is for you.The lessons of Leading a Data Driven Organization apply to anyone from a c-suite member to a first-time manager. One of its core premises is that, as far as data science goes, you either "get it" or you "get replaced." Read this book if you want to be in the former group.The author, Gordon Summers, is a data science consultant who has helped companies from large Fortune 500 corporations to small not-for-profit companies. He also teaches data science and has helped many leaders understand and implement data science within their organizations. In this book, the author's casual style helps demystify an emerging technology with no difficult formulas to memorize.



Leading With Data


Leading With Data
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Author : Ellen Goldring
language : en
Publisher: Corwin Press
Release Date : 2008-09-17

Leading With Data written by Ellen Goldring and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-17 with Education categories.


A comprehensive, practical guide to using data effectively for school improvement! This hands-on guidebook explains essential statistical and assessment information to help principals make critical and sustainable choices to promote student learning. Broad-based strategies include collecting and analyzing various types of data about student achievement, professional development, allocation of resources, family involvement, and community standards. Part of theLeadership for Learning series, this resource: Supports school leaders in developing and sustaining continuous improvement Links data-based decision making with issues of accountability and shared mission and goals Includes numerous examples and cases, a glossary, school improvement template, sample forms, and data tools



How To Lead In Data Science


How To Lead In Data Science
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Author : Jike Chong
language : en
Publisher: Simon and Schuster
Release Date : 2021-12-28

How To Lead In Data Science written by Jike Chong and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-28 with Computers categories.


A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples. In How To Lead in Data Science you will learn: Best practices for leading projects while balancing complex trade-offs Specifying, prioritizing, and planning projects from vague requirements Navigating structural challenges in your organization Working through project failures with positivity and tenacity Growing your team with coaching, mentoring, and advising Crafting technology roadmaps and championing successful projects Driving diversity, inclusion, and belonging within teams Architecting a long-term business strategy and data roadmap as an executive Delivering a data-driven culture and structuring productive data science organizations How to Lead in Data Science is full of techniques for leading data science at every seniority level—from heading up a single project to overseeing a whole company's data strategy. Authors Jike Chong and Yue Cathy Chang share hard-won advice that they've developed building data teams for LinkedIn, Acorns, Yiren Digital, large asset-management firms, Fortune 50 companies, and more. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and highlight development areas. About the technology Lead your data science teams and projects to success! To make a consistent, meaningful impact as a data science leader, you must articulate technology roadmaps, plan effective project strategies, support diversity, and create a positive environment for professional growth. This book delivers the wisdom and practical skills you need to thrive as a data science leader at all levels, from team member to the C-suite. About the book How to Lead in Data Science shares unique leadership techniques from high-performance data teams. It’s filled with best practices for balancing project trade-offs and producing exceptional results, even when beginning with vague requirements or unclear expectations. You’ll find a clearly presented modern leadership framework based on current case studies, with insights reaching all the way to Aristotle and Confucius. As you read, you’ll build practical skills to grow and improve your team, your company’s data culture, and yourself. What's inside How to coach and mentor team members Navigate an organization’s structural challenges Secure commitments from other teams and partners Stay current with the technology landscape Advance your career About the reader For data science practitioners at all levels. About the author Dr. Jike Chong and Yue Cathy Chang build, lead, and grow high-performing data teams across industries in public and private companies, such as Acorns, LinkedIn, large asset-management firms, and Fortune 50 companies. Table of Contents 1 What makes a successful data scientist? PART 1 THE TECH LEAD: CULTIVATING LEADERSHIP 2 Capabilities for leading projects 3 Virtues for leading projects PART 2 THE MANAGER: NURTURING A TEAM 4 Capabilities for leading people 5 Virtues for leading people PART 3 THE DIRECTOR: GOVERNING A FUNCTION 6 Capabilities for leading a function 7 Virtues for leading a function PART 4 THE EXECUTIVE: INSPIRING AN INDUSTRY 8 Capabilities for leading a company 9 Virtues for leading a company PART 5 THE LOOP AND THE FUTURE 10 Landscape, organization, opportunity, and practice 11 Leading in data science and a future outlook



Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value


Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value
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Author : Eric Anderson
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-11-23

Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value written by Eric Anderson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Business & Economics categories.


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.



The Data Driven Leader


The Data Driven Leader
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Author : Jenny Dearborn
language : en
Publisher: John Wiley & Sons
Release Date : 2017-10-06

The Data Driven Leader written by Jenny Dearborn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-06 with Business & Economics categories.


Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.



Leading Schools In A Data Rich World


Leading Schools In A Data Rich World
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Author : Lorna M. Earl
language : en
Publisher: Corwin Press
Release Date : 2006-02-01

Leading Schools In A Data Rich World written by Lorna M. Earl and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-01 with Education categories.


Turn skepticism about data into knowledge for true educational reform! More versatile than mere number crunching and statistics, data can be an effective tool—or even a powerful catalyst—for change within a school. By replacing cynicism with conviction, learning to harness data′s power, and becoming good users of data to positively impact student achievement, school leaders can develop three crucial capacities: an inquiry habit of mind, data literacy, and a culture of inquiry. Lorna M. Earl and Steven Katz show educators how to become comfortable with data, and provide valuable tools for school improvement teams to use in their work, including: Vignettes to support group discussion Activities for practicing the ideas and concepts in the book Task sheets Short case studies with actual school data that show how the full process works in a school To improve schools, data can and should be a vital force in the change process. Using this essential resource, school leaders, school teams, study groups, and students of education can all make sense of data to plan and reform for maximum benefit.



How To Lead In Data Science


How To Lead In Data Science
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Author : Jike Chong
language : en
Publisher: Simon and Schuster
Release Date : 2021-12-21

How To Lead In Data Science written by Jike Chong and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-21 with Computers categories.


Lead your data science teams and projects to success! To make a consistent, meaningful impact as a data science leader, you must articulate technology roadmaps, plan effective project strategies, support diversity, and create a positive environment for professional growth. This book delivers the wisdom and practical skills you need to thrive as a data science leader at all levels, from team member to the C-suite. "How to lead in data science" shares unique leadership techniques from high-performance data teams. It's filled with best practices for balancing project trade-offs and producing exceptional results, even when beginning with vague requirements or unclear expectations. You'll find a clearly presented modern leadership framework based on current case studies, with insights reaching all the way to Aristotle and Confucius. As you read, you'll build practical skills to grow and improve your team, your company's data culture, and yourself.



Data And Analytics Strategy For Business


Data And Analytics Strategy For Business
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Author : Simon Asplen-Taylor
language : en
Publisher: Kogan Page Publishers
Release Date : 2022-06-03

Data And Analytics Strategy For Business written by Simon Asplen-Taylor and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-03 with Business & Economics categories.


For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience. Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity. It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making. Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.



Data Leadership


Data Leadership
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Author : Anthony J. Algmin
language : en
Publisher:
Release Date : 2020-10-14

Data Leadership written by Anthony J. Algmin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-14 with categories.


Data has never been more important to your success than it is today, yet you are surrounded with data you can't trust, and the overwhelming burden of fixing it. Everyone deserves data that helps-not hurts-their organization.



Step Up For Leadership In Enterprise Data Science Artificial Intelligence With Big Data


Step Up For Leadership In Enterprise Data Science Artificial Intelligence With Big Data
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Author : Shitalkumar R Sukhdeve
language : en
Publisher: Independently Published
Release Date : 2020-11-27

Step Up For Leadership In Enterprise Data Science Artificial Intelligence With Big Data written by Shitalkumar R Sukhdeve and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with categories.


Review: "I would recommend this book to all prospective data scientists - as well as those software professionals who choose to transfer or migrate to the domain of data science. It is a useful addition to the body of work already available to guide project managers of data science projects." Lt Col (Dr) Rajesh Kapur (Retd), AI Investor, Asst. Prof. TIMSCDR, Hyderabad, India "It's a masterpiece of work for the aspiring leaders of data science and AI. It's also a guide for executives and investors to get maximum value from their investment in AI. Beginners in data science can also get the most out of this book.", Jay Ojha, Business intelligence and analytics manager, HCL Infosystem LtdWhy should you read this book? 87% of data science project fails to make to production in enterprises. Only 50% is the data leadership success rate. Is it not surprising to know when data science and AI are in the top trend? If you are looking for a career in data science or looking for leadership, these insights may disturb you. Don't worry, "Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data." will -Burst the myths around data science, AI & big data-Presents the real business scenarios -Take you on the journey of data science, AI & big data even if you are an ultimate beginner.-Introduce you to the essential skills of success in this field -Develop a leadership mindset by cutting edge methodologies & strategies-Make you aware of technical trends around it-Develop technical skills with R, Python, Machine learning with big data as well as business skills-Reduce failure possibility and increase the chance of success by covering the 360 degrees view of the field. Each day counts. So as your steps. Step up immediately and begin your journey to your dreams of data science and AI.