Title: Explain how personal data is compiled, analyzed, and used to make decisions in family and consumer sciences.
Course: Cybersecurity in Family and Consumer Sciences (19299-I-36) > Section: Protecting Family and Consumer Sciences Data

Explanation should include

- defining big data and data mining – the process or techniques used to analyze large sets of existing information to discover previously unrevealed patterns or correlations
- identifying where and how big data is stored and by whom
- identifying how big data is used
- explaining useful data that identifies and tracks individuals
- predicting how organizations customize communication with their target market based on an individual’s digital footprint
- using cookies and email pixel trackers
- learning management systems (e.g., Canvas, Blackboard, Sakai)
- the most common ways family and consumer sciences data is used (e.g., filtering, mining, analytics).

Process/Skill Questions:

- What is data mining?
- What is the difference between big data and data mining?
- Why would an organization want to track an individual?
- What is the purpose of cookies?
- How does the use of cookies help advertisers?
- Who should be able to access data files and for what purpose?
- Why is continuous professional development important to companies?
- What are valid reasons for tracking site users?