Data Governance in Manufacturing: Protecting Intellectual Property and Ensuring Data Integrity
Author(s): Srujana Manigonda
Publication #: 2412017
Date of Publication: 04.11.2019
Country: USA
Pages: 1-9
Published In: Volume 5 Issue 6 November-2019
DOI: https://doi.org/10.5281/zenodo.14282122
Abstract
In the manufacturing sector, data has become a strategic asset, driving innovation and operational excellence. However, the increasing digitalization of processes introduces significant risks, particularly concerning the protection of intellectual property (IP) and the assurance of data integrity. This paper examines the critical role of data governance in addressing these challenges, emphasizing the need for robust policies, advanced technologies, and cultural alignment. By safeguarding proprietary designs and operational data through access control, encryption, and traceability tools, manufacturers can mitigate the risk of IP theft and unauthorized access. Simultaneously, implementing rigorous data quality and lineage practices ensures accurate, consistent, and reliable information for decision-making. Effective data governance enables manufacturers to not only protect their competitive advantage but also comply with regulatory standards, foster collaboration, and drive sustained growth in an increasingly interconnected world.
Keywords: Data Governance, Intellectual Property Protection, Data Integrity, Manufacturing, Cybersecurity, Digital Transformation, Data Quality, Compliance, Supply Chain Management, Data Lineage, Risk Mitigation, Operational Efficiency, Data Security, Innovation in Manufacturing
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