A Domain Driven Data Architecture for Data Governance Strategies in the Enterprise
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V3I2P108Keywords:
Data governance, domain-driven architecture, enterprise data management, data stewardship, data quality, compliance, business-aligned data strategy, metadata management, data lineage, data integration, master data management, data privacy, regulatory compliance, data democratization, data security, data protection, domain-oriented approach, data architecture, business objectives, collaboration between business and IT, data transparency, analytics, insights, innovation, data accountability, data stewardship roles, data cataloging, data ethicsAbstract
Managing data efficiently has become a major concern as the organizations are confronted with such a rapidly growing, diverse and complex data landscape. Enterprises have a daunting task to ensure that the data is of good quality, that it is compliant with the regulations and that the usage of data is in accordance with the business objectives. Domain-driven data architecture is a powerful method to address these challenges and allow businesses to unleash the full potential of their data. By utilizing domains as the basis for the technical construction of data systems, the companies become able to construct a structure that facilitates better collaboration between business and technical teams. Such alignment guarantees that data is not only managed in a systematized manner but also used in the most efficient way to enable decision-making and innovation. A domain-driven approach obliges the stakeholders to firmly assign ownership and stewardship of data in the respective business areas, thus resolving the ambiguity issue & improving data governance. This kind of architecture gives enterprises the ability to come up with data governance strategies that are not only scalable and flexible but also in line with the changing business needs, thus making them more trustworthy. Besides, it gives more importance to being transparent. Poor communication, unshared understanding, and inactive stakeholder collaboration are some of the reasons data governance is still being seen as a separate function rather than interwoven with other functions in an organization. Thus, by adopting such an approach, organizations can become more responsible and transparent, with data treated as a strategic asset rather than a mere operational resource. The article focuses on the basics of the domain-driven data architecture and outlines its principles that are the enablers of effective governance of large and complex enterprises
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