Driving Your Self-Discovery

 

At a time when AI promises to automate a third of workplace tasks by 2030, this timely second edition reveals a powerful paradox: while technology advances, human skills are more crucial, not less. Using the Waterline Model, Dr. Haskell demonstrates how success in data-driven environments demands more than just technical expertise (IQ) or emotional intelligence (EQ)—it requires adaptability (AQ).

Drawing from her work with leaders across various sectors, this practical guide introduces vital new frameworks for navigating the human side of data transformation, including:

  • The "data biography" concept for understanding our relationship with data

  • A comprehensive support spectrum for developing crucial leadership capabilities

  • Data archetypes for managing diverse personalities during change

  • Core coaching skills for fostering constructive mindsets in data projects

  • Five key markers of emotional intelligence tailored to data leadership

With 12 million workers facing job transitions by 2030 and lower-wage workers 14 times more likely to be affected, this isn't just another book about data—it's an essential resource for ensuring technological advancement serves everyone. Perfect for data leaders, managers, and professionals seeking to thrive in an AI-driven world, this book provides road-tested tools for building the resilience and adaptability needed to shape technology's future while nurturing the human skills that give it meaning.


driving data projects

 

digital transformation and data projects are not new…and yet, for many, they are challenging. Driving Data Projects is a compelling guide that empowers data teams and professionals to navigate the complexities of data projects, fostering a more data-informed culture within their organizations.

With practical insights and step-by-step methodologies, this guide provides a clear path to driving data projects effectively in any organization, regardless of its sector or maturity level. It also demonstrates how to overcome the overwhelming feelings of where to start and how not to lose momentum. This book offers the keys to identifying opportunities for driving data projects and how to overcome challenges to drive successful data initiatives.

Driving Data Projects is highly practical and provides reflections, worksheets, checklists, activities, and tools, making it accessible to students new to driving data projects and culture change. This book is also a must-have guide for data teams and professionals committed to unleashing the transformative power of data in their organizations.

In this book, you’ll discover:

  • the human+machine connection: how data moves from system to system in the data supply chain, and the human responsibility and accountability in the process.

  • gives data executives, leaders, and teams the strategies and tools to partner more effectively, intentionally, and collaboratively with business stakeholders.

  • the importance of identifying, cultivating, and supporting executive sponsorship to aid data project and transformation success.

  • the culture shifts needed to manage ongoing change and how to best prepare for them to sustain success.

Christine’s book, long overdue, expertly bridges the gap from learning data best practices to implementing them in organizations. It explains data work as art and science, providing practical insights to shift from IT-driven projects to enterprise imperatives. The book emphasizes ‘data as a service,’ which is crucial for organizational success. Beyond data projects, it delves into overall project excellence, from visioning to closure, stakeholder involvement, resistance management, and constructive acknowledgment.—Kelle O’Neal, First San Francisco Partners

Christine has a long history of successfully implementing data strategies in all sizes of organizations. In this book, she condensed her tried and tested processes into an accessible, replicable, and readable book.—Andy Cotgreave, Tableau, Chart Chat

So much discussion these days on data culture, strategy, and leadership. Important stuff. But let’s not forget to actually do the work, which is where Haskell’s Driving Data Projects comes in. —Thomas C. Redman Ph.D., ‘theData Doc’

Practical, useful, realistic. If you want straight talk on what is needed to have a successful data project, go no further. But don’t let the title fool you—every IT project includes data, and most overlook or minimize the data aspects. What is offered here should be part of every IT project. Ignore at your own risk. —Danette McGilvray, Granite Falls Consulting, Inc

Driving Data Projects comprehensive and fully detailed guidance with questions and examples makes it a must-have for any data team. —Marilu Lopez, SEGDA