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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 11, ISSUE 7, JULY 2024

Optimizing Master Data Management with Informatica: A Comprehensive Solution for Data Quality and Governance

Akash A Jain, Seema Nagaraj

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Abstract: The paper explains the end-to-end master data management framework provided by Informatica based on its sophisticated capabilities in the line of data discovery, modeling, cleansing, enrichment, matching, merging, relationship management, and governance. The MDM solutions from Informatica, through MDM Multi-Domain Edition and Customer360 SaaS, are equipped with utilities that permit profiling and analysis of source data, construction of flexible and custom data models, and high-quality data through sophisticated cleansing and enrichment. It uses advanced matching engines, including machine learning-based ones, for the correct identification and merging of duplicates; the Trust Framework ensures the creation of reliable golden records. The platform can also maintain complex relationships and hierarchies of entities, thus providing end-to-end governance of data through automated workflows. This consolidates all procedures and tools for businesses to ensure high-quality and uniform master data across all systems and applications.

Keywords: Data Profiling, Data Cleansing, Data Matching, Data Governance.

How to Cite:

[1] Akash A Jain, Seema Nagaraj, “Optimizing Master Data Management with Informatica: A Comprehensive Solution for Data Quality and Governance,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.11771

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