1. Wirth
R.
& Hipp
J. (2000). CRISP-DM: Towards a standard process model for data mining. Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining. Page 35
Section 3.5
"Evaluation". The CRISP-DM methodology
a standard in data projects
specifies an "Evaluation" phase that occurs after model/solution building but before final deployment. This phase involves reviewing the work against business objectives
which aligns with showing a prototype to the team for feedback.
2. Microsoft Corporation. (2023). Power BI adoption roadmap: BI solution planning. Microsoft Learn documentation. In the section "Project planning
" the documentation outlines the typical phases of a BI project
which include prototyping
development
and validation. The validation phase
which includes User Acceptance Testing (UAT)
occurs after development is complete and is essential before deployment. Showing a functional version to the team is a core part of this validation.
3. Munzner
T. (2014). Visualization Analysis and Design. CRC Press. Chapter 3
"A Nested Model for Visualization Design and Validation
" outlines a structured process for creating visualizations. The model emphasizes validation at each stage. After the "Algorithm Design" stage (equivalent to building the report)
the process requires validation to ensure the implementation is correct and effective before it is deployed for use. This academic model supports the practice of internal review and feedback post-development.