Data is a critical asset, but data debt and accumulating poor-quality, outdated, and inconsistent data silently erode business efficiency. This session highlights the financial impact of bad data and solutions to fix it.

Problem Statement & Relevance
Many organizations unknowingly accumulate data debt, leading to slow decision-making, compliance risks, and wasted resources. Without addressing this debt, businesses struggle with inefficient analytics and AI implementation.

Solutions & Insights
This talk introduces a structured approach to identifying and reducing data debt, including:

- Common causes of data debt and how to detect them
- Strategies for improving data hygiene through automation
- How to implement proactive data governance to prevent future debt

Key Takeaways
- Learn how to quantify and reduce data debt
- Understand best practices for sustainable data quality
- Gain insights into automation tools for preventing data deterioration