Discrete manufacturers and R&D professionals have long viewed product lifecycle management (PLM) as a means to enhance manufacturing and design process management, data integrity and digital mockup. While these capabilities serve as a baseline to address operational challenges, current out-of-the-box solutions lack the maturity to maximize the value of product data and quickly tie it to business decisions. In increasingly digital environments, PLM solutions that can offer a broad suite of analytical capabilities appear well positioned to meet the needs of manufacturers.
Learn about the four categories of analytics that draw insights from product data.
Download the Product Design & Business Process Track Recommended Agenda
