Reference no: EM132466687

Definitions:

Problem A. Speed at which data are created

Problem B. A type of data analysis that is forward-looking and tells us what might happen

Problem C. Quantity and scale of data

Problem D. Diversity of data that organizations create or collect

Problem E. A type of data analysis that is historical in nature and tells us what happened

Problem F. Information systems that collect data regarding the business events of an organization and support its day-to-day business data requirements

Problem 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

Problem H. Extent to which data can be trusted for insights

Problem I. A specialized data mart for tax-related data

Problem 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

Problem K. An open-source infrastructure for storing and processing large sets of unstructured, semi- structured or structured data

Problem L. A type of data analysis that recommends a course of action based on a set of scenarios or inputs