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• Surveying information need and risk management issues of lines of business to ensure quality data are being captured and applied to relevant monitoring and oversight systems
• Integrating data systems of operational silos and centralizing storage to reduce data duplication, standardize access and oversight protocols and foster AML collaboration across enterprise
• Formalizing data governance systems to spot and resolve systemic deficiencies, monitor data quality and assure data systems incorporate changes in business models or regulations
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