Data Harmonization through Open Industry Standards

A Financial Services Case Study

Discover how data harmonization — via the marriage of open industry standards and semantic database technologies — results in improved outcomes in data quality, analytics, risk management, and governance.

Data harmonization is the process of bringing together data of varying file formats, naming conventions, and technologies, and transforming it into one cohesive data set. Thanks to a foundation based on the semantic web and broad financial industry participation, financial services organizations and regulators alike can now benefit from greater transparency and lowered risk from using ontologies that increase data intelligence via machine learning.

In this webinar, Cutter Consortium Senior Consultant Philip O’Reilly, along with colleagues David Saul, Marty Loughlin, Daire Lawlor, and Michael Atkin will demonstrate how open industry standards like the Financial Industry Business Ontology (FIBO) are improving the precision, usefulness and value of data. You’ll discover how data harmonization — via the marriage of open industry standards and semantic database technologies — results in improved outcomes in data quality, analytics, risk management, and governance. 

During this one-hour webinar discussion, you’ll learn why the financial services industry is accelerating its efforts to integrate disparate data from multiple sources and how you can use the lessons learned to harmonize the data in your organization. 

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