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Scientific Innovation Lifecycle Management

Closing the Innovation Productivity Gap

Industry trends including increased cost pressures, globalization, externalized R&D and government regulation are driving science-led organizations to improve their innovation productivity. 

The Challenge

The Innovation Productivity Gap

Yet for organizations that use science to drive new product development, there is a productivity gap across their innovation and commercialization cycles that is slowing new product development, putting significant pressures on margins and negatively impacting competiveness. Much of the experimental information that is generated as part of the innovation cycle is inaccessible or not easily available as the experimental process progresses downstream.  This is due to a number of both organizational as well as technological factors, including homegrown disconnected systems, data that is locked in disparate databases, manual processes and downstream technology that cannot manage unstructured, scientific data.  Costly experiments are repeated and information is often lost.   R&D organizations do not get the cumulative benefit of the knowledge gained over years of experimental investment as they develop new products. 

Another critical component of the gap occurs in the hand-off across each functional area within R&D as well as the technology transfer from research into development and early manufacturing scale-up. This productivity gap exists because traditional information technology solutions have proved incapable of adequately managing the complexity of scientific data and processes and the volumes of unstructured data characteristic of scientific R&D.  The infrastructure that supports the innovation cycle has been insufficient in driving this process at an enterprise level, unable to handle the iterative nature of the process and lacking the ability to pass critical performance insight and context to downstream PLM and ERP systems in a format that they can leverage as part of their process.

The result:

  • More expensive products
  • Product recalls resulting from non-compliance
  • Costly errors that damage product quality and slow time to market

 

Business as usual is no longer an option

Innovation will drive the next decade of differentiation. The cost and complexity consequences of the status quo are too high. Change is required. Significant trends from externalization to government regulation to cost pressures are creating a sense of urgency for companies to speed time to market and become more competitive.

Scientific-driven R&D organizations must close the innovation productivity gap.

How can we start to close the innovation productivity gap?