The challenges posed by the modern economic and business climate mean that companies must be ready to cope with change. Change can affect business strategy, operations, marketing, technology and more.

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 ...

This first course of the Data-Driven Decision Making (DDDM) series empowers learners to implement data-driven process improvement objectives at their organization. The course covers: the business case ...

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 ...

Process improvement is about identifying and addressing inefficiencies that waste resources and add cost. Analysis is carried out to determine which processes and process steps are value-adding or non ...

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 ...

The Army has employed a variety of techniques for continuous process improvement (CPI) for many years. Some have resulted in projects that saved the Army millions of dollars, while other efforts have ...

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 ...