Ensuring Quality and Avoiding Inaccuracies in Data Insights

Learn how to validate business rules and ensure data quality in this 45-minute conference talk from SQLBits. Explore the importance of treating data insights like software projects by implementing automated quality gates throughout the development process. Discover practical examples and proven techniques for testing data solutions, including Power BI reports, Synapse Pipelines, and interactive Spark notebooks. Gain valuable insights from speaker James Broome on maintaining data accuracy and reliability to prevent useless or dangerous insights. Understand why data validation is crucial for security boundaries and how to prevent quality regression as your data solution evolves over time.

Do those numbers look right? How to ensure quality, and avoid inaccuracies in your data insights.