To ensure pharmaceutical organizations continue to improve their product quality and comply with regulatory guidelines, they require continuous monitoring of critical business and operational parameters.
Traditionally, these organizations employed data loggers to measure and record a few parameters. The logger history had to be manually downloaded for review and archiving. However, this was a cumbersome and resource intensive process that was largely ineffective.
In addition to enhancing the monitoring and reporting data for the sake of regulatory compliance, a real-time automated monitoring function with 24/7 alarming and fully compliant reporting is needed to ensure the safety and efficacy of all stored drug products.
Life sciences companies require a continuous monitoring system that would eliminate the manual steps in generating reports, issue before-time notifications if a breakdown is suspected, and provide an easily accessible way to monitor real-time trends in critical areas.
DRYiCE iControl is a business process observability solution for Life Sciences that provides real-time 24/7 visualization of the full set of business processes, their integration, and associated systems, providing IT and operations a granular view into process capability against key performance indicators and defined service level agreements. iControl adapts a holistic, data-centric, observability driven approach that emphasizes on exploratory capabilities, and extends the traditional monitoring by a significant reach. It enables organizations to leverage the data for regulatory requirements and flag potential non-compliance. It regulates the health of business processes with IT data, predicts and analyzes the business impact of any modifications made to the process, and recognizes the process enhancement opportunities.
- Compliance to most recent regulatory frameworks
- Cross-functional monitoring, observability, and impact analysis
- Proactive identification of performance bottlenecks
- Improved stability and MTTR (Mean Time to Response)
- Proactive detection of business-critical issues and reduced MTTI (Mean Time to Identify)
- Rapid agreement between business and IT on root cause identification
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