WGU C954 V8 Chapter 6 Business Intelligence, Big
Data & Analytics Complete Study Guide 2026–2027
1. analytics: The extensive use of data and quantitative analysis to support fact-based decision making within
organizations.
2. association analysis: The use of a specialized set of algorithms to sort through data and form statistical
rules about relationships among the items.
3. What is big data?: The term used to describe data collections that are so enormous and complex that
traditional data management software cannot handle them.
4. What are traditional data management tools unable to deal with?: Big data
collections that are enormous and complex.
5. What does business intelligence (BI) refer to?: A wide range of applications, practices, and
technologies for data management.
6. What is one purpose of business intelligence (BI)?: To support improved decision making.
7. What processes are involved in business intelligence (BI)?: Extraction, transformation,
integration, organization, analysis, visualization, and interpretation of data.
8. case-based reasoning: A process that uses historical if-then-else cases to recognize patterns.
BACK
9. central tendency: Measures that identify the typical values in a distribution.
10. correlation: The extent to which variables are related.
11. Cross-Industry Process for Data Mining (CRISP-DM): A six-phase structured approach
for the planning and execution of a data-mining project.
12. dashboard: An interactive tool designed to monitor, analyze, and display data.
13. What is a data lake?: A 'store everything' approach to big data.
14. How does a data lake store data?: It saves all the data in its raw and unaltered form.
15. What is a data mart?: A subset of a data warehouse.
16. Who typically uses a data mart?: Small- and medium-sized businesses and departments within
large companies.
17. What is the purpose of a data mart?: To support decision making.
18. What is data mining?: The exploration of large amounts of data to identify hidden patterns.
19. What is the purpose of data mining?: To predict future trends and behaviors for use in decision
making.
20. data visualization: The presentation of data in a pictorial or graphical format.
21. What is a data warehouse?: A large database that holds business information from many sources
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, in the enterprise.
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Data & Analytics Complete Study Guide 2026–2027
1. analytics: The extensive use of data and quantitative analysis to support fact-based decision making within
organizations.
2. association analysis: The use of a specialized set of algorithms to sort through data and form statistical
rules about relationships among the items.
3. What is big data?: The term used to describe data collections that are so enormous and complex that
traditional data management software cannot handle them.
4. What are traditional data management tools unable to deal with?: Big data
collections that are enormous and complex.
5. What does business intelligence (BI) refer to?: A wide range of applications, practices, and
technologies for data management.
6. What is one purpose of business intelligence (BI)?: To support improved decision making.
7. What processes are involved in business intelligence (BI)?: Extraction, transformation,
integration, organization, analysis, visualization, and interpretation of data.
8. case-based reasoning: A process that uses historical if-then-else cases to recognize patterns.
BACK
9. central tendency: Measures that identify the typical values in a distribution.
10. correlation: The extent to which variables are related.
11. Cross-Industry Process for Data Mining (CRISP-DM): A six-phase structured approach
for the planning and execution of a data-mining project.
12. dashboard: An interactive tool designed to monitor, analyze, and display data.
13. What is a data lake?: A 'store everything' approach to big data.
14. How does a data lake store data?: It saves all the data in its raw and unaltered form.
15. What is a data mart?: A subset of a data warehouse.
16. Who typically uses a data mart?: Small- and medium-sized businesses and departments within
large companies.
17. What is the purpose of a data mart?: To support decision making.
18. What is data mining?: The exploration of large amounts of data to identify hidden patterns.
19. What is the purpose of data mining?: To predict future trends and behaviors for use in decision
making.
20. data visualization: The presentation of data in a pictorial or graphical format.
21. What is a data warehouse?: A large database that holds business information from many sources
1/5
, in the enterprise.
2/5
