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

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

  • Editorial Team
  • August 20, 2019
  • 1 minute

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.

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