Introducing Analytics Doesn't Have to be Awkward

Awkward introductions are the worst, but in this case they don't have to be. The best way for a company to collect and analyze the data needed in order to make data-driven decisions is to put analytics in the hands of the process experts who understand the data best. Read more tips about introducing analytics into industrial environments in this recent article in Plant Engineering.

Reimagining Industrial Operations

As industrial industries grapple with structural changes, and as societies and economies pivot to the “new normal,” companies themselves have a window of opportunity to adapt their operations. In this quarterly report, McKinsey experts and corporate leaders take a deep dive into emerging opportunities for industrial operators to help lead the way to a lower-carbon future.

How Industry 4.0 and Digitization Improves Manufacturing Responsiveness, Quality, and Efficiency

Perhaps a little more intro, this article paints the "bigger picture" that is the vision behind Industry 4.0, which is significantly higher productivity, efficiency, and self-managing production processes where people, machines, equipment, logistics systems, and work-in-process components communicate and cooperate with each other directly. If you wanted a more birds-eye view look no further. 

Do you know your Analytics Maturity Level?

Are you still exploring, or are you an analytics pro? Take this short quiz to see where you fall, get your "Analytics Badge", and start developing a roadmap for improvement. Additionally, when you take the quiz you'll get exclusive access to our latest white paper series on what you need to know to succeed with digital transformation.