Your company is sitting on a goldmine of employee data and using it like an expensive paperweight. Did you know that the average employer collects 47 different data points per employee but analyzes maybe three? In the meantime, the benefits platform that promises "actionable insights" mostly delivers pretty dashboards that reveal nothing about why your mental health benefit has 2% utilization despite everyone being stressed. Data-savvy employers are finally cracking the data code, moving beyond vanity metrics to reveal which benefits employees want but don't actually need, and more importantly, where they're struggling in silence. They are connecting disparate data sources, getting their point solutions to actually talk to each other, and using predictive analytics to spot benefits-related turnover before it happens. Let’s not forget the data privacy elephant in the room too! If you’re starting to suspect your annual benefits survey might be lying to you, take a seat at the Logos Stage and have an aha moment about how to transform your data into decisions that matter.