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About Trust.

Leading with Trust in the Data RevolutionEvery company today relies on data to succeed, yet many fall short in leveraging this invaluable asset. This must-read book provides executives and board members an actionable playbook to transform their organization into an ethical data leader. Drawing from her decades advising global corporations, author Dominique Shelton Leipzig reveals how to align your data strategy with long-term growth, build stakeholder trust, and avoid costly missteps. You'll learn the right questions to ask to truly understand your customers, streamline operations with AI, monetize data opportunities, and ensure legal compliance. With clear solutions to common data dilemmas, this book equips you to drive innovation while earning customer loyalty. Become the CEO who boldly steers your company toward data-driven profits and success.

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  • Language:
  • English
  • ISBN:
  • 9798887501734
  • Binding:
  • Hardback
  • Pages:
  • 399
  • Published:
  • December 25, 2023
  • Dimensions:
  • 150x38x229 mm.
  • Weight:
  • 703 g.
Delivery: 2-3 weeks
Expected delivery: January 10, 2025
Extended return policy to January 30, 2025
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    Cannot be delivered before Christmas.
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Description of Trust.

Leading with Trust in the Data RevolutionEvery company today relies on data to succeed, yet many fall short in leveraging this invaluable asset. This must-read book provides executives and board members an actionable playbook to transform their organization into an ethical data leader. Drawing from her decades advising global corporations, author Dominique Shelton Leipzig reveals how to align your data strategy with long-term growth, build stakeholder trust, and avoid costly missteps. You'll learn the right questions to ask to truly understand your customers, streamline operations with AI, monetize data opportunities, and ensure legal compliance. With clear solutions to common data dilemmas, this book equips you to drive innovation while earning customer loyalty. Become the CEO who boldly steers your company toward data-driven profits and success.

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