MetricStream - Observation Management Software
MetricStream Observation Management software makes it easy for business users to capture and report business anomalies and track them. Built on the MetricStream Platform, the product streamlines the identification of observations from across the organization, while also enabling anomalies to be recorded anonymously and triaged based on business criticality.
Engage business users through platforms – widgets for third-party applications, browser plugins, conversational interfaces, chatbots, and intuitive web forms— and empower them to flag potential risks as well as to report anomalies and deviations. Allow users to track and view the status of a reported observation.
Leverage AI/ML to classify observations as a case, incident, issue, or a loss event, and automate the management and monitoring of actions to address them. This capability enhances the efficiency of the triage team. Based on the appropriate classification of observation, route it for review, approval, and closure.
Leverage AI/ML to intelligently and quickly classify issues and correlate numerous issues, findings, and gaps that are similar in nature and recommend action plans. Plan for future treatment or immediate remediation to mitigate risk, based on issue criticality and impact of business. Track issues as they move from one stage to the next.
Gain visibility into observation and issues through graphical dashboards and flexible reports. Identify high-priority issues that need to be addressed quickly. Drill down to view multiple issue-related statistics and data based on a variety of parameters. Track the status of all issues and the associated actions.
- Promote positive risk culture across your organization by transferring ownership of risks to the frontline
- Prevent adverse incidents by empowering business users to proactively capture and report irregularities that could impact the organization
- Build confidence with the stakeholders that the appropriate risk mitigation has been adopted to address emerging risks
- Improve risk intelligence by analyzing issue data using artificial intelligence (AI) and natural language processing (NLP)
- Promote a culture of integrity by enabling business users to report unethical activities anonymously