Process mining is an analytical method that can be used to improve business processes. It has been applied at hundreds of organisations across many sectors, including banking, manufacturing, telecommunications and health care. In each case, organisations have found that they have been able to reduce the time required to run
It suddenly seems as if artificial intelligence (AI) is all around us. It is already having a huge impact in a wide range of sectors, including health care. We are now starting to see it move into the manufacturing sector as an important part of Industry 4.0, the digitisation of
I recently spoke to Thomas Gartzen, managing director of the European 4.0 Transformation Center. As well as talking about innovation labs in general, we also spoke about managing change and introducing an analytical approach to organisations. Thomas, do you think we can say that all companies are now software companies?
Business analytics and IoT are closely intertwined, perhaps even two sides of the same coin. When used together, they open the door to an extensive range of optimisation options in various sectors, from health care to agriculture and manufacturing. Many companies, however, have found that adding value is harder than
Too many manufacturers find themselves stuck in the past, prisoners of their own highly complex systems and supply chains. They sit on treasure troves of data generated by machinery, employees and customers, but lack the ability to turn it into actionable insight. Business intelligence (BI) has long been a manufacturing
I have had talks with many manufacturing, retail and energy companies this year, and the general opinion is that there is huge value to be drawn from the data that has been collected over the years. The consensus is that data can bring new insight and enable better decision making