Abstract
In this paper, we discuss the application and the efficiency of Singular Spectrum Analysis (SSA) technique in the new product development predictions. These predictions may be about the data of a new product in its prelaunch period, or may be about a rather old product while the marketing managers are deciding about when and what kind of reactions should be done. The SSA technique is a powerful technique of time series analysis incorporating the elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. The SSA method is run on a case study which shows the ability of producing very good forecasts that may considerably help the marketing managers in their NPD projects.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
