Every data analytics project must start with clean, correct, and trusted data. However, data may be “dirty”. Customer lists, product names, and medical records may contain misspellings or words referring to the same thing may be written a bit differently. For example, some records referring to the same company may contain words like “Corporation” while others contain “Corp”. Other records may contain extra characters like ampersands or dashes. Capitalization can vary. Monarch Data Prep Studio’s Smart Grouping feature makes cleaning up records like this simple and straightforward.