Mastering Data Quality
- 35 minutes watch
Author: Megala Sinnaraj In a world powered by software and AI, insight quality depends on data quality. This presentation explores why data quality isn’t just a technical task, but a strategic pillar that reduces business risk, improves decision-making, and protects AI investments.
In Mastering Data Quality, Megala Sinnaraj explores the crucial difference between simply checking if a system is running versus ensuring the data it produces is trustworthy. She shows how to embed data quality checks into business processes without creating roadblocks, and makes the case for a Data Quality Engineer as a guardian of business value.
You’ll learn how to lead your teams toward building more reliable systems and making more confident, data-driven decisions.
Key Takeaways
- Understand data quality’s role in reducing business risk, improving decision-making, and protecting AI investment
- Distinguish between code validation and data validation and understand how to implement checks that ensure the data itself is accurate, complete, and reliable
- Learn about the strategic placement of data quality checks throughout the data lifecycle
- Champion the role of the Data Quality Engineer as a guardian of business value, not just a technical function
Speaker
Megala Sinnaraj, Lead Data Quality Engineer
Megala Sinnaraj is guided by a passion for optimizing processes and delivering impactful technology solutions. Her 20+ years of tech experience span a wide range of industries, including grocery, finance, retail, and automotive. She’s a collaborative and solution-oriented teammate, with a proven knack for bridging the gap between development and quality assurance to ensure high-quality software delivery. She is the mother of a teenager and loves Indian dancing.
