The Kendall Group is excited to announce the launch of its newest business division, IRIS Industrial Analytics (IRIS) . The new division focuses on helping industrial manufacturers transform complex data into meaningful information to drive smarter decisions and operational excellence. “The launch of IRIS Industrial Analytics further strengthens our commitment to manufacturers by supporting them in their digital manufacturing journey. In today’s fast-changing landscape, data holds immense potential and can often feel overwhelming. Through a solution-driven approach, IRIS aims to transform complex data into clear, actionable insights that help manufacturers optimize their operations,” said John Harman, President of The Kendall Group.
With a “Start Small, Scale Smart” approach, IRIS breaks down complex data to make it easier for customers to start on their digital transformation journey. It offers tailored solutions to help customers gain a clear understanding of operational data, enabling sustainable growth and continuous improvement at each stage. Whether it’s reducing bottlenecks, improving product quality, or preventing equipment failures, IRIS provides a roadmap for operational excellence. “At IRIS, we are more than a software provider. We are a partner, committed to guiding manufacturers through the digital transformation process at a pace that makes sense for them.
Our goal is to encourage our clients to take small and strategic steps that can provide quick, tangible results that demonstrate clear ROI and build confidence. With focused projects and early successes, we aim to enable manufacturers to scale at their own pace, minimizing risk and complexity throughout the process,” said Michael Lynch, director of IRIS. Software solutions offered by IRIS include:
- Asset Performance Monitoring for real time visibility into equipment performance.
- Production Monitoring for analyzing and improving efficiency and reducing downtime.
- Automated Maintenance Management to streamline operations and enhance reliability.
- Data Lake Creation to break down data to enable comprehensive analysis and better decision making.
- Track and Trace to ensure quality control, regulatory compliance, and waste reduction.
- Product Lifecycle Management to manage equipment using real-time data and extend the life of critical machinery.