Why viewing MES not just as a monitoring tool but a data contextualizer is critical to digital transformation, as it provides meaning to disparate machine and sensor data. How integrating control and ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

Industry 4.0 focuses on how automation and connectivity could transform the manufacturing canvas. Manufacturing execution systems (MES) with strong automation and connectivity capabilities thrived ...

Wittmann Battenfeld's depiction of "Wittmann 4.0" highlights the company's equipment integration capabilities via its B8 machine control technology. Consumer preferences and demands are well-known for ...

Every data integration initiative-whether it supports better decision making, a merger/acquisition, regulatory compliance, or other business need-requires a set of processes to be completed before the ...

To cope with a tightening economic environment, businesses should prepare now for cutting IT costs, and the data management discipline is one area that affords numerous opportunities for reducing and ...

Before the internet, companies generally kept their important information in physical folders. Leads were kept in one folder, sales data was kept in another and so on. While this may have been the ...

How about a "service oriented architecture" for data? Over at the Informatica Perspectives blogsite, I quoted from a presentation given by Madan Sheina, principal analyst within Ovum's Software ...

Importing, transforming, and validating data from unmanaged external sources is a messy, complex process. A data exchange platform can help. What has always fascinated me about Moore’s law is that for ...