As early as 2015, McKinsey’s “Digital America” report projected that adoption of Industry 4.0 technologies in manufacturing alone was expected to increase domestic GDP by more than $2 trillion by 2025.

In manufacturing today, data analysis tools can give management the information it needs to make better decisions in areas such as maintenance and labor.

Is your enterprise dominated by passive thinking and prescribed routines? Or is it one that generates fresh thinking and unlocks insights into the future?

Do you know what a retailer and a tightrope walker have in common? They both have to balance. For the tightrope walker, the logic is clear. But what’s the balance that a retailer is looking for?

Current business conversation often focuses on data and big data. Data are the raw information from which statistics are created and provide an interpretation and summary of data.

Lean solutions represent an evolved method of approaching how business is done. It’s all about transparency, about you and your colleagues being accountable and maximizing efficiency to bring the most value to your customers.

According to a report by PwC, industrial sectors worldwide plan to invest $900 billion in Industry 4.0 each year. Despite these growing technology investments, only a few technologies are significantly mature to drive measurable quality impacts.

In the article, “ANSI’s Role in the Wide World of Standards,” (Quality Digest, March 12, 2019), we looked at where standards originate and how companies a

I have been doing a bit of speaking lately, either about journey mapping or with journey mapping as part of the talk, and I’ve learned a lot, or rather, confirmed a lot.

In the world of risk management, maintenance of mission-critical equipment drives priorities and budgets. It is the ultimate test of proactive maintenance and smart decision making.