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Optimizing Datasets for HyperIntelligence

Before building HyperIntelligence Cards, it is a key step to optimize the dataset for optimal readability. Users can prepare datasets, wrangle data, and move to building the card for the enterprise all in MicroStrategy Workstation. This tutorial will review how to to create multi-form attributes to create Alternate Keyword Matches ("synonyms") that activate cards across web applications as well as other helpful hints to enhance overall card appearance. For example, universities or hospitals tend to have long names that will not fit nicely within a cell of a card. That being said, elements such as "Massachusetts Institute of Technology" can easily be changed to "MIT" within the Data Wrangle feature.