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Handling data explicitly and ethically
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Module 6
Validating Data Solutions with PULPED
Validating Data Solutions: A Multi-Criteria Approach
Explain why proposed data solutions must be validated against multiple criteria before implementation.
2
Feasibility Assessment of Data Solutions
Assess whether a proposed data solution is practical to implement, such as a new sizing algorithm for small manufacturers.
3
Unintended Consequences in Data Solutions
Identify potential unintended consequences of a data solution, such as a recommendation system excluding non-standard body types.
4
Assessing Solution Coherence
Evaluate the logical coherence of a proposed solution, ensuring it directly addresses the problem defined by the SMART question.
5
Leveraging Precedent for Solution Validation
Determine whether a proposed solution is supported by precedent from similar successful implementations.
Ethical CTO POC Assessment
Assess if a proposed data solution is ethically sound by applying the CTO POC framework.
Evaluating Alternative Solutions
Evaluate whether different alternative solutions were adequately considered before selecting the proposed one.
Synthesizing Data Solutions with the PULPED Framework
Apply the PULPED framework to synthesize a final recommendation on whether to proceed with, revise, or reject a proposed data solution.
End of course,
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