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Analysis Study Research Paper | Information Technology | United States of America | Volume 12 Issue 8, August 2023 | Popularity: 5.3 / 10

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Enhancing Data Governance through AI - Driven Data Quality Management and Automated Data Contracts

Nithin Reddy Desani

Abstract: In the digital era, data governance has emerged as a pivotal component for organizations aiming to maintain the accuracy, consistency, and security of their data assets. Traditional data governance methods are increasingly being challenged by the sheer volume, velocity, and variety of data generated in today's interconnected world. The integration of AI - driven data quality management and automated data contracts presents a transformative approach that promises to significantly enhance existing data governance frameworks. This paper delves into the potential of these advanced technologies to not only improve data quality but also enforce compliance and streamline data management processes. AI - driven data quality management leverages machine learning algorithms to automatically detect, correct, and prevent data anomalies, thereby ensuring a higher level of data integrity and reliability. Automated data contracts, implemented through smart contract technology, provide a robust mechanism for enforcing data usage policies and ensuring compliance with regulatory requirements without manual intervention. By examining the current challenges faced in data governance, such as data quality issues, regulatory compliance, and data silos, this study highlights how AI and automation can address these issues effectively. The research presents detailed case studies and empirical evidence demonstrating the significant improvements in data quality and compliance achieved through the deployment of these technologies. The findings of this study provide a comprehensive analysis of the benefits and implementation considerations of AI and automation in data governance, offering valuable insights for organizations seeking to enhance their data governance practices. By embracing these innovations, organizations can build a more robust, efficient, and compliant data governance ecosystem that supports strategic decision - making and fosters long - term success.

Keywords: data governance, AI-driven data quality, automated data contracts, data compliance, data management

Edition: Volume 12 Issue 8, August 2023

Pages: 2519 - 2525

DOI: https://www.doi.org/10.21275/ES23812104904

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