Computer Science 1032A/B Lecture Notes - Lecture 4: Data Quality, Information Quality, Information System

• School: Western University
• Department: Computer Science
• Course: Computer Science 1032A/B
• Professor: Louis Magguilli

Document Summary

Data versus information versus knowledge: data, facts or figures, collected, recorded, stores, processed. Information: processed data, data that has been organized and processed to be meaningful to a person who will use it, or other information system, anything that reduces uncertainty, knowledge, results and conclusions. Inferred from information: using the information derived from data to support conclusions. It(cid:859)s a (cid:373)ea(cid:374)s to a(cid:374)d e(cid:374)d: data differs from information in which way, data is input, information is output. Important to understand the difference: data hourly wage, knowledge competitive within your industry. Information average wage: note: some people discuss wisdom (common sense) as being above these three levels, but this cannot be taught or even explained (rare indeed) Incorrect data: missing values, we will still have data, but because some is missing, the analysis will not be as accurate. Information system versus information technology: the 5 components of an information system contains the 3 components of.