Abstract
The evolution of product management has shifted from intuition-led decisions to evidence-based strategies powered by data analytics. This paper explores how analytics and insights influence product development, innovation, and decision-making processes. A theoretical framework is proposed to examine the interplay between data, product lifecycle stages, and business outcomes. An experimental study illustrates the application of data-driven methodologies across real-world case scenarios. Comparative analysis between data-driven and traditional approaches highlights measurable advantages in innovation speed, customer adoption, and market performance. The paper concludes with key takeaways, limitations, and implications for practitioners.
Citations
IRE Journals:
Vijay Kumar Kanojia
"Product Management Paradigm Shift: Driving Innovation Through Analytics and Insights" Iconic Research And Engineering Journals Volume 7 Issue 5 2023 Page 440-446
IEEE:
Vijay Kumar Kanojia
"Product Management Paradigm Shift: Driving Innovation Through Analytics and Insights" Iconic Research And Engineering Journals, 7(5)
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