please match the concepts with their definition.
Chapter 5 - Problem 1-Matching 1. analytics mindset 2. automation 3. bot Information that results from the examination of data to understand the past, answer the question "what happened?" b Application of machines to automatically perform a task once performed by humans Amount of data created and stored by an organization d Collection of structured, semi-structured, and unstructured data stored in a single location c Autonomous computer program designed to perform a specific task f Different forms data can take 4. dark data 5. data lake 6. data mart 7. data storytelling 8. data swamps 9. data variety & Computer software that can be programmed to automatically perform tasks across applications just as human workers do h Information that results from analyses that focus on predicting the future, answer the question "what might happen in the future?" i A character, or series of characters, that mark the end of one field and the beginning of the next field j Data that describes other data k Use of a graphical representation of data to convey meaning 1 Quality or trustworthiness of data m Data repositories that are not accurately documented so that 10. 11. data velocity data veracity data visualization 12. 13. data volume 13. 14. 15. data volume m Data repositories that are not accurately documented so that the stored data cannot be properly identified and analyzed delimiter n Way of thinking that centers on the correct use of data and analysis for decision making descriptive analytics o Process of translating often complex data analyses into more casy to understand terms to enable better decision making diagnostic analyties P Data that has no uniform structure ETL process q Two characters that indicate the beginning and ending of a field and tell the program to ignore any delimiters contained between the characters 16. 17. 18. flat file Set of procedures for blending data: the acronym stands for extract, transform, and load data Information that attempts to determine causal relationships. 19. metadata 19. metadata $ 20. predictive analytics t Information that attempts to determine causal relationships, answers the question "why did this happen?" Information that results from analyses to provide a recommendation of what should happen, answers the question "what should be done? Text file that contains data from multiple tables or sources and merges that data into a single row Data repositories that hold structured data for a subset of an organization 21. U 22. prescriptive analytics robotic process automation (RPA) structured data 23. w Pace at which data is created and stored 24. text qualifier 25. unstructured data Data that is highly organized and fits into fixed fields y Storage of structured data from many different sources in an organization Information the organization has collected and stored that would be useful for analysis but is not analyzed and is thus generally ignored Z
