Certified Professional in Data Quality Assurance and Control
Published on June 22, 2025
About this Podcast
HOST: Welcome to our podcast, today I'm thrilled to be speaking with an expert in data quality assurance and control. Can you tell us a bit about your background and how you got into this field? GUEST: Sure, I've been working in data management for over 15 years, starting as a data analyst and eventually moving into data governance and quality assurance. I've always been fascinated by the power of high-quality data to drive business success. HOST: That's great. Today we're discussing the Certified Professional in Data Quality Assurance and Control (CP-DQAC) course. Can you give us a brief overview of what this course covers? GUEST: Absolutely. The CP-DQAC course is designed for data professionals, analysts, and managers looking to improve their data quality skills. It covers data governance, data profiling, data cleansing, data validation, data accuracy, master data management, and data integrity issues. HOST: Those are all critical areas in data management. What current industry trends are most relevant to this course? GUEST: There are a few key trends right now. First, the increasing importance of data privacy and security, which requires robust data quality frameworks. Second, the rise of artificial intelligence and machine learning, which rely heavily on high-quality data. And third, the growing recognition of the value of data as a strategic asset, driving the need for effective data quality management. HOST: Those are some significant trends. What challenges have you faced in this field or while teaching this subject? GUEST: One of the biggest challenges is helping students understand the importance of data quality and its impact on business outcomes. Another challenge is keeping up with the rapidly evolving technology landscape and ensuring the course content remains relevant. HOST: Those are important challenges to address. Finally, where do you see the future of data quality assurance and control heading? GUEST: I believe we'll continue to see increased emphasis on data privacy and security, as well as greater integration of data quality management into overall business strategy. There will also be a growing focus on automation and AI to improve data quality and reduce human error. HOST: Thank you for sharing your insights and expertise with us today. The CP-DQAC course sounds like a valuable resource for anyone looking to enhance their data quality skills and advance their career in data management. GUEST: Thank you for having me. It's been a pleasure discussing this important topic with you.
