Recent research shows that 64% of organizations cite data quality as their top data integrity challenge, and 67% say they don’t fully trust the data used for decision-making (Precisely). Meanwhile, 59% of companies still do not systematically measure data quality, a gap that contributes to average annual losses of nearly $13 million (Gartner). Yet despite these challenges, over 90% of organizations report measurable value from data and analytics investments (Coherent Solutions), revealing both a tremendous opportunity and a pressing execution gap.
When one link falters—say, a supplier’s material variation or a lab’s calibration drift—the effects ripple across entire ecosystems. Whether you’re producing pharmaceuticals, parts, or power, the challenges of quality today transcend industry lines.
And that’s why, as we look toward the future, Quality Reimagined isn’t just a theme—it’s an urgent reality.
For decades, quality was primarily associated with manufacturing: production lines, process variation, and control charts. But today, quality is a shared responsibility across every function and every sector.
Digital transformation has accelerated the expectations for visibility, traceability, and accountability. Customers and regulators alike expect proof—not just promise—of consistent performance. As a result, quality professionals must connect the dots across data sources, departments, and decisions like never before.
But many organizations still face the same roadblocks: disconnected systems, siloed reporting, and reactive problem-solving. The result? Missed insights, duplicated effort, and uncertainty around which metrics truly matter.
When organizations embrace a unified approach to analytics, complexity becomes clarity. By connecting data across teams and functions, quality professionals create a common language—one that turns daily operations into continuous improvement.
This is where Minitab’s legacy comes in. For more than 50 years, Minitab has helped organizations make sense of their data and turn it into measurable progress. From statistical analysis and visualization to predictive modeling and real-time process monitoring, Minitab empowers teams to move from reactive troubleshooting to proactive prevention.
Data-driven quality doesn’t replace the human element—it strengthens it. With clear insights and accessible tools, professionals can focus their expertise where it matters most: driving improvements, reducing waste, and creating sustainable value.
At Minitab, we believe that the future of quality depends on accessibility. Data and analytics shouldn’t belong only to specialists, they should empower everyone.
That’s why we’ve made it our mission to democratize analytics, bridging the gap between complex statistical methods and practical, everyday decision-making. Our platform is designed so that anyone—from operators and engineers to executives—can explore, visualize, and act on their data with confidence.
Through intuitive dashboards, automated reporting, and AI-driven insights, Minitab ensures that improvement doesn’t stop at the analyst’s desk—it becomes a shared mindset that extends across entire organizations.
As organizations around the world continue their digital transformation journeys, one truth stands out: quality knows no borders.
A hospital in France and a manufacturer in Belgium may measure different metrics, but both rely on data to achieve consistency, safety, and trust. The same principles that improve patient outcomes in healthcare can reduce waste in production. The same traceability that ensures compliance in a lab can strengthen sustainability across a global supply chain.
In this way, data becomes the great connector: linking people, processes, and performance into one continuous cycle of learning and improvement.
As we look toward 2026, quality is re-emerging as a top strategic priority: not only for manufacturers, but across every data-driven organization. With the rapid advancement of analytics, AI, and automation, the potential to redefine how quality is managed has never been greater.
The transformation is already taking shape through real-time operational intelligence, moving from visibility (“what is happening?”) to insights (“why?”), to predictive analytics (“what will happen next?”) and ultimately to prescriptive and self-optimising systems that can act on data automatically.
This evolution doesn’t replace the quality professional, it empowers them. By combining human expertise with data-driven intelligence, organizations can turn every insight into action and every process into an opportunity for improvement.
Join us on 25 November at Xelyo Quality Day in Belgium and discover how Minitab empowers quality professionals across industries to turn data into opportunity.
Visit our booth to connect with our experts, experience our solutions in action and see how data-driven quality can help your organization thrive in 2026 and beyond.