Strategies for enhancing data engineering practices to support business strategy development
Keywords:
Data Engineering, Business Strategy, Data Quality, Process Automation, Cross-functional Collaboration, Agile Data Pipelines, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOSAbstract
In today’s data-driven business environment, robust data engineering practices are paramount to support agile business strategy development. This manuscript examines strategies to enhance data engineering processes that drive effective decision-making and competitive advantage. Through an extensive literature review, an empirical methodology, and the analysis of case studies, we explore the integration of modern technologies, process automation, and crossfunctional collaboration in data pipelines. The study identifies key challenges such as data quality, integration, and scalability while proposing actionable strategies to overcome these hurdles.
Our findings underscore the importance of aligning data engineering efforts with strategic business goals by adopting a framework that emphasizes agility, continuous improvement, and stakeholder engagement. The recommendations provided aim to empower organizations to harness their data assets, optimize operations, and achieve sustained business growth. Overall, this research contributes to the evolving discourse on data engineering best practices and their critical role in strategic business transformation.
