Executive summary

Organizations worldwide are eager to capitalize on recent advancements in AI and harness its newly available capabilities. However, even the most sophisticated models require high-quality data to be effective. This report provides practical and actionable steps to enhance your data quality, a crucial factor in the age of AI.

This definitive resource delves into the following key areas:

• Understanding data quality: Learn to define, assess, and measure your data quality, providing a clear view of your current state and areas for improvement.
• Improving data quality at source: Gain practical advice for enhancing data quality during its creation, where it is most cost-effective and impactful.
• Case studies: Explore real-world examples that demonstrate the significant positive impact of focusing on data quality within organizations.
• A culture that values quality: Foster a data culture that prioritizes quality, treats data as a product, and embeds data...