Data Excellence: Building Organizational Dexterity through Big Data and Data Quality

Study design/ Methodology: In today's rapidly evolving digital landscape, the convergence of organizational dexterity and data quality has become paramount for organizations seeking to thrive amid the data revolution and navigate the complex web of opportunities and problems generated by data.This paper explores the essential intersection of data excellence, showing how organizational dexterity and well-informed decision-making are based on the synergy of big data and data quality.This paper has been divided into three fundamental elements, starting with the vast field of big data and its capacity to reveal revolutionary discoveries.Next, we move on to the idea of organizational dexterity, or the capacity of an organization to quickly adjust to changing conditions, data quality, which is the keystone that guarantees the accuracy and dependability of insights obtained from big data analytics, and obstacles that organizations encounter in preserving data of superior quality, then integrating contemporary research through the practical advantages of combining organizational dexterity, data quality, and Big Data analytics are highlighted via case studies and real-world examples.All these points were obtained through a review of the literature and articles from global databases.Findings: This paper emphasizes the necessity of data excellence as a critical strategic initiative by coordinating big data endeavors with organizational dexterity and dedication to data integrity.In conclusion, organizations should prioritize data quality through governance, cleansing, and validation and foster a data-driven culture with training and leadership to enhance decision-making.Since developing agility within organizations is crucial for adapting to market changes, companies can not only prosper in the digital environment, but also foster an environment of perpetual innovation and achievements.