More important than the inventor, the first company to market, or even the technology itself, is adoption of the technology. Whether a technology is adopted early or late can make or break not only the technology, inventor, company, or entire industry, but also an entire economy.

Existing models and quality characteristics used for software, systems, and data quality can be leveraged to identify cost categories and support the creation of a Cost of Quality System for Quality 4.0.

A fundamental shift is taking place in the way companies are approaching regulatory compliance. A lack of structured data is proving to be a substantial liability—as ill-prepared companies are learning the hard way—which is leading more organizations to move away from conventional document-centric methodologies and toward a data-centered model of compliance.

The first thing we can do to understand revolution versus evolution is to turn to the pure definition of these two words. The word evolution˜refers to the gradual development or changes in something over a period. 

The cornerstone of every manufacturer’s success is the ability to shift gears from one product generation and business model to the next while finding new ways to excel at quality.

Most quality departments are still doing things the old fashioned way: measure, collect, compare, respond, fix, and repeat. This reactive, legacy approach is, of course, vital for any successful company, but in this data-driven age of smart manufacturing and Industry 4.0, it’s not enough. 

Regardless of the industry you serve, document control is one of the most prevalent applications in businesses today.

The manufacturing world is drowning in data. A recent study published by The Economist evaluates the current state of manufacturing data.

Almost nothing gets done without software. Companies use it to track inventory, processes, and of course, communicate.

Evan Miller recalls an experience a few years ago during an auto industry workshop in Detroit.