Return on Data Investment: Thoughts from the Banks of Data Rivers

by AxiomSL | Best Practice

The data-river process concept, the Service Level Expectations (SLE) concept and the five techniques discussed in this paper — The Investment for Conformance, The Investment to be Competitive, The Price of Nonconformance, The Cost to Withstand Audits and The Cost to Manage Change — can enable you to organize, prioritize and justify continuous improvement in the data rivers that flow through your organization and ultimately maximize your financial institution’s return on its data investment.

About AxiomSL

AxiomSL is the leading global provider of regulatory reporting and risk management solutions for banks, asset managers and insurers. It empowers clients with the tools they need to manage their financial, risk and operational requirements, and to comply with regulatory calculation and disclosure mandates around the world.

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