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.

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