Ep. 1: The Data Quality Problem nobody wants to own

The podcast episode features a discussion on the challenges and importance of product data quality in the context of evolving business needs and technological advancements. The conversation delves into the foundational aspects of product data, the challenges of data quality, defining data quality and ownership, business architecture, evolving use cases, and barriers to achieving data quality. It also highlights the resurgence of data quality importance and strategies for overcoming data quality challenges. The podcast delves into the organizational shift required for data quality, emphasizing the need for team collaboration, challenges with spreadsheet dependency, and the importance of engaging people on the floor. It also explores the complexity of data quality, the role of AI, the resurgence of master data management, and the importance of governance in data quality. The speakers: discuss reframing the business case for data quality, measuring data quality and completeness, and provide closing remarks on future topics.Key TakeawaysData quality is foundational and crucial for business successDefining data quality and ownership is essential for effective management Organizational shift for data qualityImportance of team collaboration and data ownershipChapters00:00 Introduction to Product Data Space10:13 Defining Data Quality and Ownership16:27 Evolving Use Cases for Product Data22:00 Barriers to Achieving Data Quality29:15 Organizational Shift for Data Quality35:25 Complexity of Data Quality42:15 AI Readiness and Data Quality48:02 Importance of Governance in Data Quality53:33 Closing Remarks and Future Topics