Signs that a data architecture is limiting innovation include constant switching between languages and frameworks, resulting in "switching costs" that can eat up 40% of developers' productive time. This can hinder team productivity as skills become siloed and it becomes difficult to fill gaps when key personnel leave. Additionally, teams often accumulate technical debt by maintaining multiple legacy systems, which can rob them of time spent on building new features, with the average developer spending 13.5 hours a week managing this debt. A modernized data architecture, such as MongoDB's platform, provides a cohesive interface for developers to work with data, eliminating the need to switch between silos and reducing technical debt.