MatrixEase

Our mission is to provide a novel method for allowing humans to visually consume very large matrix data sets and dynamically interact with them to easily identify significant data relationships and detailed metrics. The categorization of text, numeric, date and time elements into easily consumable groups allows the user to be able to visually consume large quantities of data in a compressed/categorized format. The visualization of data also supports visual filtering of the result set to allow further identification of significant data relationships. The system reads in matrix data from your defined source and then automatically categorizes the data into human consumable groups. The system then displays the resultant data to the user in a format that is easily understandable and further allows the user to take action on the data to either further filter or see detailed metrics on the data. The system visually displays the data and categorizations to allow the user to identify significant data relationships.