Agile and Intelligent PLM is poised to take the use of data and intelligence across the product lifecycle to a whole new level. Discover what is driving adoption of Agile and Intelligent PLM, what sets Leaders apart, and what holds Laggards back. Gain the key requirements and steps to success.
Product Lifecycle Management (PLM) can provide strategic value to an organization, driving top-and bottom-line improvements across the product lifecycle. However, powered by analytics tools that allow critical information to be accessed quickly and easily, agile and intelligent PLM is poised to take the use of data and intelligence across the product lifecycle to a whole new level.
In a survey that included responses from 217 SAPinsiders PLM decision-makers and technology leaders across a range of industries from retail to automotive, over 85 percent of survey respondents indicated that they were either currently in some stage of implementing (46%), or evaluating (18%) or planning to evaluate (22%) Agile Product Development Tools and Processes to support their product development efforts. In addition, nearly 80% of respondents reported that they were either currently in some stage of implementing (28%), evaluating (24%), or planning to
evaluate (30%) Intelligent PLM Tools and Processes (i.e. AI - driven decision-making, predictive analytics tools, 3D visualization/collaboration tools, and digital twins).
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