ITEC 1000 Study Guide - Final Guide: Data Governance, Data Science, Skill

• School: York University
• Department: Information Technology
• Course: ITEC 1000
• Professor: Radu Campeanu

Document Summary

The data for bi (business intelligence) comes from many sources. True: false, a marketing manager who does not have deep knowledge of information systems or data science, will not be able to use bi tools, true. False: some insurance companies can detect fraudulant claims using bi software. True: false, data scientists do not need much business domain knowledge, true. False: suppose you are good in math and statistics. Adding programming to your skill-set will be necessary if you want to be a data scientist. True: false, for an organization to get real value from its bi efforts, it must have a solid data management program. True: false, creative data scientists - a key component of bi efforts in an organization - are people who are primarily focused on coming up with novel ways of analyzing data, true. False: data governance involves identifying people who are responsible for fixing and preventing issues with data.