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1. Why do you believe that data can be inaccurate?
2. What can a business do to ensure data is correct?
3. Explain how bad data will impact information, business intelligence, and knowledge.
4. Have you ever made a decision based on bad data? If so, please share how you could have verified the data quality.
5. Argue for or against the following statement “It is better to make a business decision with bad data than with no data”.
What makes data, information, and knowledge an essential element to machine learning?
1. What is the difference between data, information, and knowledge?
2. Explain in your own words how the data component relates to the hardware and software components of information systems.
3. What is the difference between quantitative data and qualitative data? In what situations could the number 42 be considered qualitative data?
4. What are the characteristics of a relational database?