Incentive programs often falter, not due to flaws in the compensation models, but because the data driving those models is riddled with inaccuracies and inconsistencies. This session delves into how data integrity issues can silently undermine the effectiveness of sales compensation plans and provides actionable strategies to address these hidden challenges.
We’ll explore real-world case studies where improving data—not just tweaking incentive structures—made the most significant difference. Discover how organizations can streamline their processes without the need for costly new systems, by leveraging existing resources, automation, and intelligent incentive management tools.
Join us to rethink your approach to data within your sales compensation strategy and leave equipped with the tools to ensure your incentive programs deliver the results you’re aiming for

Key Takeaways

• Understand how data inconsistencies silently disrupt your incentive programs and hurt sales performance.
• Learn practical tactics for verifying data quality, anomaly detection, and setting up monitoring systems without overhauling your current infrastructure.
• Discover how automation and RPA (Robotic Process Automation) can fix data discrepancies from the source to streamline manual adjustments.
• Equip your organization to handle data preparation and adjustments within your existing incentive systems for better accuracy and analyst satisfaction.