Podcast
Questions and Answers
What has led to the increasingly widespread business application of data science principles and data-mining techniques?
What has led to the increasingly widespread business application of data science principles and data-mining techniques?
- Limited availability of algorithms for connecting datasets
- Volume and variety of data outstripping the capacity of manual analysis (correct)
- Decreased reliance on computers and networking
- Reduced focus on exploiting data for competitive advantage
In which industry are the widest applications of data-mining techniques found?
In which industry are the widest applications of data-mining techniques found?
- Manufacturing
- Marketing (correct)
- Healthcare
- Education
What is a major application of data mining in the finance industry?
What is a major application of data mining in the finance industry?
- Online advertising
- Healthcare management
- Credit scoring (correct)
- Supply-chain management
Which sector uses data mining for tasks such as fraud detection and workforce management?
Which sector uses data mining for tasks such as fraud detection and workforce management?
What has outstripped the capacity of manual analysis in exploring datasets?
What has outstripped the capacity of manual analysis in exploring datasets?
What is the primary purpose of using data mining in general customer relationship management?
What is the primary purpose of using data mining in general customer relationship management?
What is the primary goal of the book mentioned in the text?
What is the primary goal of the book mentioned in the text?
What does the text suggest about the terms 'data science' and 'data mining'?
What does the text suggest about the terms 'data science' and 'data mining'?
Why is it important to understand data science even if you never intend to apply it yourself?
Why is it important to understand data science even if you never intend to apply it yourself?
What does the text imply about the relationship between data science and data mining techniques?
What does the text imply about the relationship between data science and data mining techniques?
What should a reader be able to do after getting better at data-analytic thinking?
What should a reader be able to do after getting better at data-analytic thinking?
What does the text suggest about the relationship between data science and intuition?
What does the text suggest about the relationship between data science and intuition?
What is the main difference between 'data science' and 'data mining' according to the text?
What is the main difference between 'data science' and 'data mining' according to the text?
What does 'data-analytic thinking' enable you to do?
What does 'data-analytic thinking' enable you to do?
What does the text suggest about the relationship between 'data perspective' and business problems?
What does the text suggest about the relationship between 'data perspective' and business problems?
Why does the text emphasize basic principles over specific techniques in the book?
Why does the text emphasize basic principles over specific techniques in the book?
