Software intelligence company 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.

"Dynatrace gives us valuable insight into the business impact of our applications' performance and enables our teams to proactively solve problems, deliver better customer experiences, and drive more value for our organization," said Stephen Evans, Head of Quality, Monitoring, SRE/DevOps Technology at PVH. "This enhanced capability to access and store all of our business data provides the scalability our business needs. It also frees our teams from the constraints of sifting through data to determine what is valuable and what should be stored. Dynatrace's unique ability to analyze all this data and deliver precise and contextualized answers in real time enables us to improve our digital landscape."

"To drive digital transformation at scale, organizations need trustworthy and real-time insights from their business data. Existing solutions often rely on stale data, fail to deliver precise answers in IT-context, and require manual maintenance and coding from engineers," said Bernd Greifeneder, Founder and Chief Technical Officer at Dynatrace. "The Grail causational data lakehouse uniquely positions the Dynatrace platform to overcome these hurdles. By elevating the priority of business data to ensure it arrives unsampled and with lossless precision, even from third-party applications where developers are not accessible, business and IT teams using the Dynatrace platform can now easily access valuable business insights on demand. This has the capability to unlock nearly unlimited business analytics use cases, allowing our customers to instantly answer their most challenging questions with accuracy, clarity, and speed."