Data Lakes as Core Architecture for Next-Generation SaaS Applications

Data lakes are becoming essential components of modern SaaS architecture as large language models enable extraction of insights from unstructured data alongside traditional structured sources. Companies that leverage data lakes to synthesize insights across multiple domains—combining sales conversations, customer support interactions, and behavioral data—will gain competitive advantages over incumbents. The ability to process both structured and unstructured data at scale will distinguish next-generation software leaders.