Product overview
Business Automation Insights collects data from systems like IBM Business Automation Workflow, IBM Case Manager, and Operational Decision Manager. It processes this data using technologies like Kafka, Flink, and OpenSearch, and presents it in dashboards that support real-time decision-making.
User roles and responsibilities
Business Automation Insights is built for two main user groups—business users and administrators—who each bring unique goals and responsibilities to the table. Whether you're driving strategic decisions or managing system performance, Business Automation Insights offers tailored tools to help you succeed.
Business users
Business users include:
- Business analysts who track KPIs and performance trends
- Project managers who monitor process efficiency
- Operations staff who need visibility into daily workflows
With Business Automation Insights, a business user can:
- Visualize business metrics such as task duration, decision volumes, and transaction rates
- Customize dashboards in the Business Performance Center, a no-code dashboarding tool, to suit your goals
- Monitor business performance in real time and identify bottlenecks or anomalies
Administrators
Administrators include:
- System administrators who manage deployment and configuration
- DevOps engineers who oversee event processing and integration
- Security specialists who ensure data protection and compliance
With Business Automation Insights, an administrator can:
- Deploy Business Automation Insights on Kubernetes platforms and configure it for your environment. The containerized deployment supports Rancher, Tanzu, GKE, and OpenShift® platform.
- Set up secure event emission from custom sources using the Processing Application
- Troubleshoot issues using logging, tracing, and configuration validation tools
Types of operational data monitored
Business Automation Insights tracks a wide range of operational data, including:
- Process durations - for example, how long it takes to complete a workflow
- Task completion rates - for example, percentage of tasks finished on time
- Decision volumes - for example, number of automated decisions made per hour
- Revenue metrics - if integrated with financial systems
- Application usage - for example, hits per service or API
This data is aggregated into business-relevant KPIs and displayed in dashboards that help you make informed decisions quickly.