For today's CFO, data quality is no longer a back-office concern, it's a credibility issue. Yet 96% report challenges with the quality of non-financial data, making it harder to support strategic decisions, meet regulatory requirements, and benefit from AI-driven initiatives.
A decade ago, data quality was measured simply by accuracy and completeness. Today, as finance teams adopt advanced technologies, the standard has evolved. Modern finance functions require information quality, data that is accurate, complete, consistent, explainable, reliable, and usable.
High-quality information doesn't just improve control, it transforms how finance communicates and influences. Stronger data foundations enable clearer internal reporting, more compelling external storytelling, and more actionable insights. They also ensure that AI and analytics models are trained on trustworthy inputs, increasing accuracy and confidence in outputs.
Join this interactive panel discussion as we explore:
- How finance leaders can move beyond managing data to building trusted information ecosystems
- How better data enhances internal reporting clarity and strengthens external storytelling with stakeholders
- Ways improved information quality drives deeper insights, faster decision-making, and stronger strategic alignment
- Why high-quality data is critical for AI adoption, improving model accuracy, reducing bias, and increasing trust in AI-driven outcomes