NextBillion - An Initiative of the William Davidson Institute at the University of Michigan

As we approach 2025, the demand for workforce upskilling is skyrocketing like never before. Organizations are prioritizing initiatives to stay competitive and thrive. With that comes the demand of capturing, unifying, and acting on data, which is critical to success. This webinar equips program managers and company leaders with actionable insights into building data-driven practices that enhance program effectiveness, inform decision-making, and amplify outcomes. In 2025, build infrastructure to lead with Data. Over the past several years, we have worked closely with organizations investing in training, coaching, or mentoring initiatives. We have seen that those who adapt to the rapidly changing data landscape have successfully maximized their programs’ impact. Join us, and we will share our insight on building data infrastructure for managing upskilling initiatives. We will discuss essential strategies and tools to stay ahead, ensuring impactful outcomes and effective program execution. A. Advanced Data Collection: Discover best practices for collecting and leveraging integrated data systems, an essential strategy for 2025. Effective data collection across various touchpoints enables comprehensive insights and seamless reporting, empowering program managers to drive informed decisions. B. Business Intelligence: Workforce development programs must harness business intelligence from diverse data sources and datasets. C. Continuous Data for Responsive Adjustments: In 2025, real-time data tracking for making immediate, informed decisions to enhance program delivery is non-negotiable. Continuous data monitoring allows program managers to identify and address challenges quickly, ensuring agile responses and better overall outcomes. This webinar is the last of the Making Sense of Data series in 2024. Get ready to embed data-centric practices and build sustainable, data-driven decision-making cultures to improve your storytelling. Thank you. See you soon.