It's challenging for businesses to get their employees to use data in their daily workflows, despite investing in analytics and business intelligence (BI) tools. The main reasons people struggle with using data include a lack of access to the right data, unclear or changing metrics definitions, and manual and time-consuming processes. To overcome these challenges, companies can focus on removing data silos, helping employees understand the "why" behind metrics definitions, and streamlining their data source → data destination pipeline through automation and other tools. Data adoption is an ongoing process that requires understanding the reasons behind the problem and trying different approaches to find a solution.