Data-Driven Product Management: Strategies for Aligning Technology with Business Growth
DOI:
https://doi.org/10.36676/jrps.v11.i4.1590Keywords:
Data-driven product management, technol-ogy alignment, business growth, analytics, customer insightsAbstract
In today's rapidly evolving digital landscape, effective product management requires a strategic alignment between technology and business growth. This paper explores data-driven product management as a pivotal approach for organizations aiming to enhance their competitive edge. By integrating advanced analytics and data insights into the product development lifecycle, businesses can make informed decisions that directly influence product innovation and market responsiveness. The study highlights key strategies for leveraging data to understand customer needs, optimize product features, and drive user engagement. Furthermore, it examines the role of cross-functional collaboration and agile methodologies in fostering a data-centric culture within organizations. Through case studies and empirical evidence, this research underscores the importance of aligning product management strategies with organizational goals, ultimately facilitating sustainable growth and improved customer satisfaction. The findings provide a comprehensive framework for practitioners seeking to implement data-driven approaches in their product management processes, ensuring that technological advancements contribute effectively to overall business objectives.
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Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. Available at: http://www.ijcspub/papers/IJCSP20B1006.pdf
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