The gap between the business and the data w/ Gabi Steele (co-founder & CEO @ Preql)

Every company wants to become data-driven, or at minimum, measure their performance in a trusted, reliable way. And although ingesting and storing operational data is easier than it’s ever been, most organizations still struggle to get value from their data. Why is this? The process of data transformation, or structuring data for analysis, requires deep collaboration between the business and data engineering, groups with overlapping goals and radically different workflows and tools. From our experience both building internal data teams and implementing the modern stack at companies of all sizes, we’ll share what we’ve learned about bridging the gap between data capabilities and business needs.