The Hidden Cost of Poor Data Quality

Send us Fan Mail With Carol Kim — Executive Director, IBM Can an organisation really be data-driven if its data can't be trusted? In this episode, Ben Parker speaks with Carol Kim about why Data Governance and Data Quality are fundamental to better decision-making and what happens when organisations fail to get them right. Carol explores how poor-quality data affects far more than technology, creating hidden costs across decision-making, operations and the wider business. Drawing on her journey from finance into technology and Data and AI leadership, Carol also discusses the importance of curiosity, storytelling and authentic leadership — and the lessons she's learned navigating transformation across different cultures and environments. You’ll hear practical insights on: Why trusted data is essential for better decision-making The hidden business costs of poor Data Quality Where Data Governance typically breaks down How people, process and technology need to work together What organisations need to build effective Data Governance Why storytelling matters for Data leaders The importance of curiosity and continuous learning in leadership Chapters 00:00 The importance of continuous learning 02:01 Carol's career and leadership journey 07:54 Why storytelling matters in Data 09:59 Leadership and career transformation 15:13 Why Data Governance & Data Quality matter 24:06 Final thoughts Thank you for listening!