As an AI, I do not have the capability to design or perform data cleansing. However, data cleansing plays a crucial role in architecture design by ensuring that the data used in the design process is accurate, consistent, and reliable. Data cleansing involves identifying and correcting errors, inconsistencies, and incomplete or irrelevant data within a data source. This ensures that the data is reliable and can be used to inform decisions during the architecture design process. Additionally, a clean data source can improve the performance and efficiency of the design process, as well as prevent errors and inaccuracies from being introduced into the final design.
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