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This review paper explores the impact of data analytics on guiding product development processes from conception to launch. It synthesizes findings from existing literature to outline how data-driven strategies can optimize each phase of product development, thereby enhancing efficiency and effectiveness in meeting market demands. The review spans various industries, highlighting the universality of data analytics applications in product innovation. The paper details how data analytics facilitates better decision-making through predictive insights into market trends and consumer preferences, which are crucial for defining product specifications and features. It also examines the role of data in refining production processes, ensuring quality control, and customizing marketing strategies to target potential customer segments effectively. Additionally, the review considers the benefits of continuous data evaluation during the product testing phase, enabling quicker adjustments and improvements. The findings indicate that data analytics significantly shortens the product development timeline and increases the likelihood of market success. Organizations leveraging data-driven insights from the outset of product development gain a competitive edge by creating more aligned and responsive products. The paper recommends broader adoption of robust data analytics tools and practices across industries to maximize product development outcomes.
Benjamin et al. (Wed,) studied this question.
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