Balancing Efficiency and Resilience in Data Operations

The chapter explores the critical balance between efficiency and resilience in data operations, citing real-life examples to illustrate the impact of incentives on data quality improvement. It emphasizes the importance of leadership support for enhancing data quality and aligning organizational goals. Additionally, it delves into the challenges of leadership in promoting data-driven approaches and the need for honest and effective data modeling strategies.