4 Reasons PLM Projects Fail
Product Lifecycle Management (PLM) systems are the heart of any innovative manufacturing organization. All manufacturing organizations rely on some level of PLM for successful product creation, but in world-class organizations, PLM software can be so much more.
Before organizations can fully take advantage of the PLM approach’s benefits, they need help to shake the dirt off their valuable, buried data, and make it work for them as an organizational asset.
With all the value that a PLM system can offer, why do so many manufacturers still struggle with missed deadlines, continuous rework, and lost threads? It’s because PLM systems are great, but they aren’t perfect.
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The drug discovery process has increased in complexity and need for information at an incredible rate, but McKinsey notes that in spite of the growing necessity to leverage all available data, Life Sciences is also one of the slowest industries to adopt the technologies they need to save crucial time and close the information gap.
As a major biopharmaceutical research firm, AstraZeneca understands the need for comprehensive information collection, aggregation, and discovery to accelerate research and innovation. To facilitate this information collection and discovery in a timely manner, AstraZeneca decided that it needed a new approach to how it researched and handled information.