Data is power. But how do you harness that data into actionable intelligence? IRIS Industrial Analytics, a subsidiary of The Kendall Group, is a new brand aimed at enabling manufacturers to harness their data to generate actionable intelligence, enhance decision-making, and drive positive business outcomes. The IRIS team is ready to help you sharpen your views by focusing on industrial analytics. Valuable business insights are available in all aspects of production, but you need to know where to look and how to visualize them for action.
Whether it is specific KPIs for asset or production performance monitoring, maintenance management predictions, tracking and tracing of input to output products, or simple OEE, the IRIS team will select and implement a solution for your optimal decision-making clarity.
Asset Performance Monitoring (APM)
Visualize and understand your feeds, speeds, temperatures, flow rates, or power consumption on key assets, allowing you to act on the health, safety, and performance of your physical production equipment.
Production Performance Monitoring (PPM)
Focus on and understand your machine and production rates, cycle times, output, quality metrics, and scrap to get a clear picture of the efficiency and effectiveness of production processes, allowing you to act on potential waste and operational cost improvement opportunities.
Computerized Maintenance Management (CMMS)
Sharpen your strategy, getting beyond manual entry of maintenance work orders and moving to automated predictive or prescriptive work order creation and management. Use available data like machine run time hours to electronically file off work orders and leverage AI engines to create baselines and detect anomalies.
Track and Trace of Input to Output Products
Bring clarity and understanding of what your input product measurables are and how it relates to product out the door, your operation’s true flow. Build on this to identify impacting variables by layering OEE
Manufacturing Data Lake Creation
Building and utilizing a data lake will allow you to begin contextualizing all of your data together for true industrial data operations mapping. Using machine learning algorithms, we help you begin building the model, teaching the model, and doing a related data call on an asset to learn all the potential relational information about it. Truly the foundation for making your data useful.
