Data quality is the backbone of every decision an organization makes, but let’s face it—it’s a tough nut to crack. Poor data can wreck trust, waste resources, and leave everyone scrambling for answers.
In a recent discussion with Datacamp, Piyush Mehta, CEO, and Founder at Data Dynamics, unpacked why data quality issues persist and how AI and ML are changing the game. The panel emphasized the need for fit-for-purpose data, the challenges of diverse formats and volumes, and why solving this isn’t a solo effort—it’s a team sport. Every department needs to collaborate, making “good” data a shared goal.