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The banking systems that deliver risk information often operate in silos. Despite this built-in system isolation, the data requirements for risk measurement and reporting processes across different types of risk measures overlap significantly. And the time required to identify, clean, transform and load this data into each individual solution's data mart is substantial. SAS helps by providing a single source of all information used to create your risk data warehouse – an approach that brings major benefits not only to each of your risk projects, but to your bank as a whole. Learn more about how SAS can help you operate effectively at an enterprise risk management level and improve analytical processes that need data enrichment. All while lowering the overall cost of providing data to banking activities that rely on analytics.

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