Current Volume 10
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 https://doi.org/10.64388/IREV7I5-1710872-5566
IEEE:
Vijay Kumar Kanojia
"Product Management Paradigm Shift: Driving Innovation Through Analytics and Insights" Iconic Research And Engineering Journals, vol. 7, no. 5, Nov. 2023, doi: https://doi.org/10.64388/IREV7I5-1710872-5566
APA:
Vijay Kumar Kanojia
(2023). Product Management Paradigm Shift: Driving Innovation Through Analytics and Insights. Iconic Research And Engineering Journals, 7(5). doi: https://doi.org/10.64388/IREV7I5-1710872-5566
MLA:
Vijay Kumar Kanojia
"Product Management Paradigm Shift: Driving Innovation Through Analytics and Insights" Iconic Research And Engineering Journals, vol. 7, no. 5, Nov. 2023. Crossref, https://doi.org/10.64388/IREV7I5-1710872-5566
BibTeX
@article{1710872,
author = {Vijay Kumar Kanojia},
title = {Product Management Paradigm Shift: Driving Innovation Through Analytics and Insights},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {5},
pages = {440-446},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710872.pdf},
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.},
month = {November}
}
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