In preparation for Gen AI, there is growing pressure to provide flawless data quality. Currently, CDOs spend approx. 30-40% of their time focusing on data quality issues. However, the relentless pursuit of data quality can become counterproductive, taking your data team away from more impactful data initiatives. While data quality is a undeniably valuable for decision-making and operational efficiency, it is essential to recognise that data quality perfection is unnecessary and unobtainable.

• Learn why just 80% and not 100% the most effective goal for establishing high quality data.
• Explore the trade-offs between different dimensions of data quality, such as timeliness vs. completeness, and how to make informed decisions.
• Understand alternative focuses instead of solely perfecting data quality throughout your organisation.