Datasheet

ANOW! Observe – Process Analytics

ANOW! Observe Process Analytics provides deep visibility into complex business processes as well as application and data workflows. By analyzing telemetry data, KPIs and workflow executions, IT teams gain actionable insights into performance, trends and recurring issues to continuously optimize workflows supporting critical business services.

What to Expect

  • Comprehensive workflow observability: Detailed insights into application and data workflows support improvements in workflow health, resource allocation, SLA adherence and other key metrics.

  • Identify trends and issues early: Telemetry data from workflow executions is analyzed to uncover KPI trends, performance degradations, irregularities and recurring issues.

  • Actionable insights through interactive dashboards: Performance & Success, Problems & Volumes, and Duration & Trends dashboards provide focused insights into failures, peak usage, execution times and long-term performance trends.

ANOW! Observe Process Analytics helps IT teams gain visibility into complex application and data workflows spanning operating systems, data platforms and applications. The solution collects telemetry data from workflow executions and analyzes it to uncover trends in key performance indicators and identify recurring issues.

Real-time telemetry collection and advanced analytics provide visibility into workflow performance and its impact on critical business services. Teams can understand how workflow changes affect performance and service delivery while identifying performance degradation, irregularities and errors at an early stage. This helps avoid escalations, reduce resolution times and decrease the effort ITOps teams spend addressing performance concerns.

Interactive dashboards provide focused analysis across key areas: Performance & Success enables drill-down into the main causes of failures, Problems & Volumes examines historical peak usage and the applications driving it, while Duration & Trends monitors average execution durations, monthly execution counts, and workflow start and end times.

Further Resources

Blog Article

The Road to Enterprise Orchestration

Enterprise IT has never been more complex, and automation, in particular, continues to evolve rapidly as we head toward the age of agentic AI. An effective organization must coordinate workloads across on-premises infrastructure, multiple cloud providers, SaaS applications, Kubernetes clusters, APIs, and AI-powered services. In today’s business climate, IT processes can no longer run optimally on a single platform; they must span the entire technology ecosystem. Traditional job scheduling, therefore, is no longer enough in this environment. Instead, IT teams need to look towards a future of Enterprise Orchestration. This new approach coordinates entire business processes across the digital enterprise instead of automating only single tasks. In this article, we explore the evolution of enterprise automation and the road to enterprise orchestration.
Blog Article

Where Enterprise Automation Is Heading: Insights from the 2026 Gartner® Magic Quadrant™ for SOAP

The move from traditional workload automation to intelligent, end-to-end orchestration is accelerating. This change is one of the clearest signals we've seen from the 2026 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms (SOAP), and it comes at an important moment for Beta Systems. For the second year in a row, Beta Systems has been positioned as a Leader in the Gartner Magic Quadrant for SOAP. But beyond vendor positioning, the 2026 report provides an important view into where enterprise automation is heading. The evolution is not simply from job scheduling to more sophisticated workload automation. SOAPs are increasingly becoming the operational layer connecting applications, infrastructure, data pipelines, cloud services, and now AI agents. Here are our key takeaways from the 2026 research.
Interview

Eduardo Raygadas de la Torre on Mainframe, AI & Modern Automation

Eduardo Raygadas de la Torre from Versaria shares his perspective on the evolution of enterprise IT. He explores how Beta Systems combines proven mainframe expertise with AI, automation, and observability to support modern hybrid IT environments – and highlights the opportunities these technologies create for customers in the Mexican market.