Definitions: A. Speed at which data are created B. A type of data analysis that is forward-looking and tells us what might happen C. Quantity and scale of data D. Diversity of data that organizations create or collect E. A type of data analysis that is historical in nature and tells us what happened F. Information systems that collect data regarding the business events of an organization and support its day-to-day business data requirements G. A catch-all term for vast quantities of structured, semi-structured and unstructured data that are often available in real time or near real time H. Extent to which data can be trusted for insights I. A specialized data mart for tax-related data J. The process of extracting data from similar or disparate data sources, harmonizing the data into a common format, and importing the data into a final target data store K. An open-source infrastructure for storing and processing large sets of unstructured, semi- structured or structured data L. A type of data analysis that recommends a course of action based on a set of scenarios or inputs