Making the value of technology clear
Our Perspective on Siemens PLM StrategySiemens continues to be a dominant force in the PLM market. Since our last update on Siemens PLM, their vision to support product innovation, product development, engineering, and production has continued to expand from an already broad suite of capabilities. It’s time to acknowledge that they’ve gone beyond the traditional boundaries of “PLM” to a
The Analytics Opportunity for Food and Beverage in the Digital Age (video)This episode of Tech-Clarity TV explains how food and beverage companies can survive in the digital age as new, agile, innovative companies disrupt their markets. It shares how these food and CPG companies can use analytics as a competitive tool to better sense and respond to customer needs and gain deeper understanding of their products, processes,
Analytics for Food and Beverage in the Digital Age (guest post)Jim Brown provided a guest post to the Siemens PLM Community blog discussing how analytics can unlock new value for CPG and Food & Beverage companies. The post shares how big data analytics can uncover hidden relationships and create valuable insights from the vast amounts of data available to today’s food companies. It offers examples
Siemens PLM Vision 2015+In addition to being a major industrial manufacturer in their own right, Siemens PLM has a rich history in the engineering software industry. Today, they continue to drive their PLM agenda forward while taking greater advantage of the synergies available from being a part of a global manufacturer with offerings including manufacturing automation equipment, manufacturing operations management (MOM)
Improving Engineering Decision-Making with PLMIssue in Focus: Improving Engineering Decision-Making with PLM – Better Products through Information-Driven Decisions discusses the importance of enabling engineers and product developers to make informed decisions when developing products. The report discusses how PLM must provide efficient and rapid access to product information – in context – so engineers can make optimal, information-driven decisions