Organizations generate 403 trillion terabytes of data daily, yet most governance programs fail by attempting to control everything simultaneously. Traditional approaches focus narrowly on the 20% of data bound by regulatory requirements, leaving 80% of business-valuable data ungoverned and unusable. Complex, heavyweight policies designed for theoretical perfection sit unimplemented while ownership remains undefined and AI initiatives fail due to poor data quality.

The alternative begins with empathy - understanding business pain points rather than imposing controls. Practical governance establishes lightweight "must-have" rules embedded into data life cycle processes. Success requires shifting conversations from compliance burden to competitive advantage.

This video lesson, taught by Vida Ahmadi, data governance officer at Electrolux Professional Group, will cover:

• Establishing minimum viable policies that balance protection requirements with business usability;
• Centralizing data cataloging to eliminate silos and duplicate storage costs;
• Proving value through AI deployment success and reduced infrastructure expenses.