Dynatrace announced the addition of Digital Business Analytics to its Software Intelligence Platform.
Digital Business Analytics provides real-time, AI-powered answers to business questions using data already flowing through Dynatrace’s application and digital experience monitoring modules. By tying together user experience, customer behavior, and application performance data with business metrics, Digital Business Analytics provides real-time answers about conversions, orders, churn, release validation, customer segmentation and more. Traditionally, application owners and business users have been forced to go to disparate, siloed tools and manually analyze data, thereby hampering their ability to run and optimize their digital business offerings in real-time.
Available today, Digital Business Analytics joins APM, Cloud Infrastructure Monitoring, Digital Experience Management, and AIOps as part of the Dynatrace all-in-one Software Intelligence Platform. As with these other modules, Dynatrace’s AI engine Davis is at the core of Digital Business Analytics. Davis continually learns what expected “normal” business performance looks like and provides proactive answers to issues, enabling faster decision making, greater optimization of resources and better business outcomes.
As data volume and velocity accelerates, organizations are struggling to make sense of disparate dashboards from traditional IT monitoring tools, web analytics and ad hoc reporting. Dynatrace’s Digital Business Analytics automatically captures business data and analyzes it in context with user experience and application performance data. Furthermore, Digital Business Analytics complements existing web analytics tools to deliver real-time and complete results, by combining existing customer-facing channels with application and user experience data. Dynatrace’s full-stack Software Intelligence Platform shares a common data model across the platform, with AI and automation at its core, applying anomaly detection to business metrics to provide precise, real-time answers to business-critical questions.
Key pillars of Digital Business Analytics include:
- Transactions: Automatic tracing, segmentation and data extraction from business transactions.
- Analytics: AI-powered analysis, exploration/querying and extraction of business-relevant insights from Dynatrace® application and user experience data.
- Conversions: Visualization of and collaboration on business-relevant metrics such as conversions and revenue performance by product, customer segment, geography and more.
- Automation: AI-powered anomaly detection, alerting and root cause determination for business processes, with programmable APIs to trigger business workflows and change events.
“Digital transformation projects are spurring companies to create multidisciplinary lines of business teams that run the business with a product mindset and are demanding answers to questions that were previously difficult, slow or impossible to obtain,” said Steve Tack, SVP of Product Management at Dynatrace. “Digital Business Analytics leverages the automation and intelligence at the core of the Dynatrace Software Intelligence Platform to provide alerts, best-in-class anomaly detection and real-time answers about high-impact business issues such as degradation in revenue or conversions across products, geographies or segments.”
The Latest
While most companies are now deploying cloud-based technologies, the 2024 Secure Cloud Networking Field Report from Aviatrix found that there is a silent struggle to maximize value from those investments. Many of the challenges organizations have faced over the past several years have evolved, but continue today ...
In our latest research, Cisco's The App Attention Index 2023: Beware the Application Generation, 62% of consumers report their expectations for digital experiences are far higher than they were two years ago, and 64% state they are less forgiving of poor digital services than they were just 12 months ago ...
In MEAN TIME TO INSIGHT Episode 5, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the network source of truth ...
A vast majority (89%) of organizations have rapidly expanded their technology in the past few years and three quarters (76%) say it's brought with it increased "chaos" that they have to manage, according to Situation Report 2024: Managing Technology Chaos from Software AG ...
In 2024 the number one challenge facing IT teams is a lack of skilled workers, and many are turning to automation as an answer, according to IT Trends: 2024 Industry Report ...
Organizations are continuing to embrace multicloud environments and cloud-native architectures to enable rapid transformation and deliver secure innovation. However, despite the speed, scale, and agility enabled by these modern cloud ecosystems, organizations are struggling to manage the explosion of data they create, according to The state of observability 2024: Overcoming complexity through AI-driven analytics and automation strategies, a report from Dynatrace ...
Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...
Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...
Choosing the right approach is critical with cloud monitoring in hybrid environments. Otherwise, you may drive up costs with features you don’t need and risk diminishing the visibility of your on-premises IT ...
Consumers ranked the marketing strategies and missteps that most significantly impact brand trust, which 73% say is their biggest motivator to share first-party data, according to The Rules of the Marketing Game, a 2023 report from Pantheon ...
