Making the value of technology clear
The integration of advanced digital technologies and data-driven approaches in the laboratory provides greater efficiency and improved accuracy in scientific research. Innovative technologies are enabling scientists to capture and extract novel insights from their experiments, optimize experiment design, and identify important patterns in their data. Implementing digital technologies in the lab requires proper planning and…
Tech-Clarity Insight – Creating the Environment to Innovate, How Industry Leaders Put People, Processes, and Technology in Place to Drive Innovation shares our insights and the perspective of three leading companies on how to best create an atmosphere that fosters innovation. The report explains that companies must put a realistic improvement plan in place that…
Issue in Focus: Enabling Mobile PLM – IT Considerations for Leveraging Mobility to Extend PLM Value points out some very practical considerations that IT leaders must take into account when taking PLM mobile. The rise of tablets like the iPad offers an opportunity to further PLM value by reducing barriers to innovation, decision-making, program management,…
What I learned this week … is that there are still some technical challenges that make implementing PLM challenging, but that is not what this post is about. The technical challenges include customization, data migration, and integration among others. See Oleg’s post on the “3 main factors of mainstream PLM adoption” for more detail on each of these, and his views on why these three factors impact the adoption rate of PLM. I accept Oleg’s premise on these factors (although we will likely continue to debate the relative priority of ERP integration) from a technical perspective. But I think any technical conversation about PLM implementation has to be complemented with a view on why PLM is really hard – you have to change the way people work in order to improve your product development performance and your product profitability.