Associations cite record duplication and matching across multiple systems as one of their biggest data challenges. They also struggle with cleansing dirty data, identifying missing or incorrect information, and normalizing non-standard data formats. Many associations try to tackle these issues with manual effort but are unable to keep up. This is not the way forward!
Drawing upon our background in data and automation, we set out to build a tool to help associations – of any size – better manage their data. This tool, Bumblebee, automates data transformation and cleansing activities while using data science to provide fast and accurate duplicate identification and record matching.