Episode 5 - Data Quality

In Episode 5 of '100 Days of Data,' Jonas and Amy delve into why data quality is essential to any successful AI initiative. They explore the three foundational pillars of data quality — accuracy, completeness, and consistency — through relatable stories ranging from retail and healthcare to manufacturing and finance. The hosts illustrate how flaws in data can lead to costly mistakes, missed opportunities, or outright failures in AI systems. They also discuss how human oversight, outdated systems, and lack of accountability often contribute to poor data quality. Practical tips for improving data integrity include validation rules, data audits, and establishing a single source of truth. Whether you're a data scientist, business leader, or AI enthusiast, this episode will deepen your understanding of how clean, trustworthy data lays the groundwork for intelligent decision-making.