Product Lifecycle Management (PLM) is an ‘old‘ discipline; it came out in the mid 80’s as the engineering data management solution of choice to support product development, especially in the context of optimising CAD and Product Data Mana...
Technology is increasingly complex and integrated, providing more business benefits than ever, and enabling organisations to create and sustain competitive advantage. The rapid rate of change also implies that organisations must deal wit...
Effective Master Data Management (MDM) and product development efficiency are closely linked. They are both concerned with data optimisation, decision-making and process improvement principles. Business process efficiency requires effect...
There are several definitions for ‘sustainable manufacturing‘, which is often referring to a long-term quality that aims to preserve, keep and maintain environmental resources without compromising future efficiency. It is also li...
Big Data Engineering: Current Skills and Future PLM Considerations
2016-03-08Data, PLM, Talents, Big Data, Integration, IoT
Businesses demand more intelligent products and intelligent products demand data intelligence The typical challenges with data engineering (which obviously relate to the ‘science of data‘) include one or more of the following considerati...
Understanding the source of disappointments can help to prevent them. Herzberg et al. (1959) introduced the two-factor theory of motivation: intrinsic motivators vs extrinsic hygiene factors. Improvement in some areas might help to remov...
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