Industry 4.0 and the Industrial Internet of Things (IIoT) promise to make more data and better analytic applications available for industry. Driven by high-powered analytics, including machine ...

Electronic health record data can identify gaps in maps used for quality improvement for high-risk processes such as hospital discharge when using the Failure Mode and Effects Analysis (FMEA) approach ...

Case study examples from DSM Dyneema and Hunstman Corp. illustrate how providing everyone with simple-to-use analytics tools can dramatically improve production and business operations. All the ...

In this information age, data is everywhere. How can we improve efficiencies and organize this information into useable nuggets? Plant and operations managers receive vast amounts of both structured ...

No matter the size or scope of an organization, there is little question that everyone wants to find ways to improve their performance. Baseball teams use sabermetrics; companies often use the stock ...

One challenge for the business process movement has always been the tradeoff between deep analysis and improvement-oriented actions. Process analysis—understanding and measuring a process and the ...

We are living in an increasingly interconnected world – not just in the number of digital devices, but also in how actions can have dozens, if not hundreds or more consequences that cascade through a ...

Data is everywhere, but how should you organize it, visualize it, and utilize it to solve problems and make data-driven decisions? This hands-on workshop will show you how to use Microsoft® Excel for ...

Over the past few years, I’ve devoted significant energy to speaking and writing about a data analytics methodology called DataOps, which recognizes analytics systems as manufacturing processes. The ...