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

20 Aug 2019
Date submitted
20 Aug 2019
Resource type
Best practice
File type
Web page Web page
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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