Dynatrace announced new enhancements to its Digital Business Analytics module. The Dynatrace explainable AI engine, Davis, has been expanded to process business KPIs, such as revenue trends, customer conversions and churn.
In addition, Dynatrace now enables one-click integration with the most popular web analytics solutions including Adobe Analytics. These enhancements facilitate automatic detection of the root cause of business-impacting anomalies and provide organizations with precise answers and insights so they can deliver outstanding digital experiences and better business outcomes.
“Observability data contains a goldmine of insights about business issues that, until the release of our Digital Business Analytics module last October, remained locked inside of IT systems,” said Steve Tack, SVP of Product Management at Dynatrace. “Today, the digital business analytics module gets even better. The addition of business KPIs to our AI engine, Davis, not only unlocks critical data, it also provides organizations with the precise insights and answers required to take action before the business is negatively impacted.”
“Dynatrace Digital Business Analytics gives us additional visibility into user behavior so we can address problems before they impact customer experience,” said Jim Hinze, Director of Software Engineering at Exeter Finance. “From the very first day of use, we were able to determine that the precise root cause of a recent drop in scheduled payments was due to a website performance error. Immediate business results like this get folks really excited about what we’re doing and improve the way our business and IT teams collaborate.”
New enhancements to the Dynatrace Digital Business Analytics module include:
- Enhanced AI with business KPIs – The Dynatrace explainable AI engine, Davis, now processes business data, such as revenue trends, customer conversions and churn, from an expanded set of data sources including logs, services and custom metrics. This delivers even more precise, AI-powered answers, allowing teams to go beyond simply what is happening to understand precisely why it’s happening.
- Real-time business anomaly detection – Dynatrace delivers automatic, real-time alerts on business-impacting anomalies using critical business metrics, including revenue, feature adoption, conversion steps and segmentation characteristics such as customer loyalty status, geolocation and user satisfaction data. As a result, teams can proactively identify and resolve problems before customers are impacted.
- Automatic web analytics integrations – Dynatrace now enables one-click integration with the most popular web analytics tools, including Adobe Analytics and other services. This enables organizations to use segmentation criteria from these web analytics tools to create similar views in Dynatrace. This shared business context makes it easier for teams to optimize customer experience as well as application functionality, helping to ensure proactive problem resolution and better business outcomes.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...