Data-Driven Design Management: Scientific Approaches To Innovation And Strategy
Keywords:
Data-Driven Design, Design Management, Innovation Strategy, Evidence-Based Decision-MakingAbstract
Data-driven design management leverages scientific methodologies to enhance innovation, strategic decision-making, and operational efficiency in contemporary design practices. Integrating empirical data, analytics, and evidence-based approaches into design workflows enables organizations to optimize resource allocation, validate concepts, and measure performance outcomes. This article explores theoretical frameworks, computational tools, and applied strategies for data-informed design management. Two graphical analyses illustrate the decision-making flow and innovation impact metrics. The study demonstrates how scientific approaches support iterative design processes, improve risk management, and foster a culture of innovation in modern organizations.
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