Many advancement executives are excited by the potential of AI, big data, and data analytics. While data can improve decision support, there can be significant challenges in shifting from ideas to working reality. How can you—the data leaders and experts in your organizations—bridge the gap between exciting new capabilities and the complex realities of working with data? How can you effectively surface the infrastructure needs, governance quandaries, literacy gaps, data integrity challenges, and resource limitations that block these aspirations? Whether you are communicating to senior leaders, peers, or your team members, data projects often need some degree of audience translation. Join us for an engaging and interactive conversation on how to effectively communicate your needs to executives and decision makers in order to drive your data initiatives forward.

Ever find yourself running the same report for multiple departments or prospect pools? Wanting to re-run an analysis, but forgetting how you undertook it several weeks, months, or years back? Frustrated over how best to combine multiple data sources? Rmarkdown may be a solution for you. This open source solution provides users with a format to combine analytical processes with documentation. It's flexible enough to run workflows in a multitude of languages (R, Python, and SQL, among others), produce various output media, and automate reporting. 

This session will be followed by a Part Two Workshop at 4:00 PM. 

This will be an interactive workshop based on the Part One Session at 2:45 PM.