Session type:


Presented by:

Nimit Bhardwaj

Session time:

03 Oct 12:15 13:00

Session duration:

45 minutes

About the session

In the agile world, where speed and flexibility are paramount, ensuring data quality often poses significant challenges. 

This session explores effective strategies and best practices for maintaining high data quality standards within agile frameworks. We'll discuss practical techniques for integrating data quality checks into the agile workflow, how to balance rapid development with accurate data processing, and a case study from demonstrating successful data quality initiatives. 

Participants will gain insights into embedding data quality into different stages of the agile process.

Participant takeaways:

  • Techniques for integrating continuous data quality checks in the agile cycle.
  • The role of automated testing and tools in maintaining data integrity.
  • Strategies for fostering a culture that values data quality among agile teams.
  • Lessons learned from my experience at real-world example of overcoming data quality challenges in an agile context.


Data quality assurance, Agile methodologies, Best practices in data management, Case studies in data quality, Balancing speed and accuracy

About the speaker(s)