Dynatrace announced that it is extending its Grail causational data lakehouse to power business analytics. As a result, the Dynatrace® platform can instantly capture business data from first and third-party applications at a massive scale without requiring engineering resources or code changes. It prioritizes business data separately from observability data and stores, processes, and analyzes this data while retaining the context of the complex cloud environments where it originated.

Dynatrace designed these enhancements to enable business and IT teams to drive accurate, reliable, cost-effective automation and conduct efficient ad hoc analytics covering a wide range of business processes. Examples include order fulfillment and bill payments, service activation and customer onboarding workflows, and the impact on revenue from new digital services. Today's announcement builds on capabilities that Dynatrace launched in October 2022, leveraging Grail to power log analytics and management.

The company expects to continue to extend Grail to power additional development, security, IT, and business solutions. Organizations depend on digital services to drive revenue, customer satisfaction, and competitive differentiation. To optimize these services and user experiences, business and IT teams increasingly rely on insights from various business data, including application usage, conversion rates, and inventory returns.

Yet, traditional business intelligence tools lack the speed, scale, flexibility, and granularity required to deliver insights about services built on complex cloud architectures. In fact, according to a study from Deloitte, two-thirds of organizations are not comfortable accessing or using data from their business intelligence tools. Business analytics in modern cloud environments requires a new approach.