Ontology and Future of Master Data Management in Respect to Data Quality
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V5I2P117Keywords:
Ontology, Master Data Management (Mdm), Data Quality Management, Semantic Data Integration, Knowledge Graphs, Data GovernanceAbstract
Companies are producing large volumes of data due to digital technologies, cloud computing, and AI usage. Big data management is becoming a problem for small and medium-sized businesses too. Master Data Management ensures platform-wide corporate data consistency. Regardless of their size, organisations must manage increasingly sophisticated electronic business data and operations. Complex entity connections are difficult to represent in traditional data. Enterprise information systems require technology-based capabilities to simplify and comprehend company data and procedures. System-wide data integration and understanding are promoted by semantic ontology frameworks. Three information system use cases that might be enhanced are given, along with semantic technology and ontology-based techniques. Ontology-driven Master Data Management improves data quality, semantic integration, and intelligent data governance in contemporary businesses. Trustworthiness and data quality are guided by provenance.
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References
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