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Value Management at the Front-End of Innovation: A Structured Approach to Maximize Returns, Increase Process Efficiency and Manage Innovation Risk

Posted: 09/21/2009





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Tags:  front end innovation | Blue Ocean Strategy | Joseph Marigliano | Six Sigma | innovation

The current economic environment is the most challenging in decades. Maximizing profits, cash flow and effective risk management are critical to success, perhaps even survival. With so little room for error, every dollar counts. This is even more true of innovation investments. They must deliver differentiated performance that customers will pay for, all in the most cost effective manner possible. In this Profit through Process Interactive virtual case study, Genna Weiss of Six Sigma IQ speaks with Joseph V. Marigliano, Partner for Transcend Strategic Consulting, a price/value management and financial engineering consultancy based in Philadelphia. Marigliano discusses a portfolio approach to structured front-end approaches to innovation based on extensive field practice and research. This approach extends Transcend Strategic Consulting's work outlined in Structured Innovation: A Proven Method for Improving New Product Success, where one can systematically reduce risk, drive cost efficiencies and increase odds of financial success for innovation efforts.

Marigliano shows that structured front-end innovation is a holistic process, incorporating both Six Sigma Principles and Blue Ocean Strategy to identify differentiated innovations, associated willingness to pay, and process efficiencies driven by a relentless focus on those innovations. This talk is designed to improve your company’s capability for proactively identifying the best innovation possibilities and executing them effectively.

You will learn:
    • The application of select Six Sigma and Blue Ocean Strategy tools and frameworks to the beginning phase of innovations efforts
    • How to use them for process improvement and greater speed and trust within your company
    • How to deal with complexities in a hypothetical case study


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