Standard Operating Procedures for Governed Master Data Consolidation in EBX5

Authors

  • Kinshuk Dutta

Keywords:

EBX5, master data management, standard operating procedure, data consolidation, data governance, data stewardship, golden record, survivorship, data quality, source-system onboarding.

Abstract

Master data consolidation programs often fail not because the target platform lacks technical capability, but because operating controls, role boundaries, stewardship procedures, and exception-handling patterns are not formalized early enough. This paper presents a standard operating procedure (SOP) framework for governed data consolidation using EBX5. The framework defines a repeatable operating model for receiving data from source systems, validating and loading records into a landing zone, transforming and standardizing records through staging, applying matching and survivorship rules, resolving ambiguous clusters through stewardship, and publishing governed golden records. The paper emphasizes the separation of automated system tasks from accountable user tasks, the importance of stewardship role design, and the controlled onboarding of new data providers. The result is a practical governance-oriented architecture for reducing implementation variability and improving repeatability in multi-domain master data management deployments.

DOI: https://doi.org/10.17762/ijisae.v6i4.8347

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References

DAMA International, DAMA-DMBOK: Data Management Body of Knowledge, 2nd ed. Basking Ridge, NJ, USA: Technics Publications, 2017.

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Orchestra Networks, EBX5 Implementation and Data Consolidation Field Materials, 2018.

Orchestra Networks, EBX5 Standard Operating Procedure for Data Consolidation, 2018.

TIBCO Software Inc., EBX and Data Quality Add-on Technical Documentation, 2018.

TIBCO Software Inc., EBX Data Exchange Add-on Technical Documentation, 2018.

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Published

30.06.2018

How to Cite

Kinshuk Dutta. (2018). Standard Operating Procedures for Governed Master Data Consolidation in EBX5. International Journal of Intelligent Systems and Applications in Engineering, 6(4), 386 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/8347

Issue

Vol. 6 No. 4 (2018)

Section

Research Article

License

Creative Commons License

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