Chapter 1 Review Questions

Data Analytics Made Accessible: 2020 edition Chapter 1 Review Questions

Describe the Business Intelligence and Data Mining (BIDM) cycle.

Business activities are recorded on paper or using electronic media, and then these records become data. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business soo that it can evolve to become more effective and efficient in serving customer needs.

Describe the data processing chain.

Data processing chain involves 5 elements: Data is first collected, then stored in a Database, then relevant data is extracted from the operational data stores and stored in a Data Warehouse, then the data from the warehouse can be combined with other sources of data and mined for important new insights then finally the insights are visualized and communicated to the right audience! So it goes from Data → Database → Data Warehouse → Data Mining → Data Visualization.

What are the similarities between diamond mining and data mining?

Both diamond mining and data mining involve extracting valuable resources. They both require careful exploration to find the best sources. In both processes, there is a need to remove a large amount of unwanted materials to obtain the desired precious ore/data. Additionally, both diamond mining and data mining involve a series of steps, such as sorting and analyzing, to maximize the value of the final product.

What is a dashboard? How does it help?

A dashboard is a visual representation of data and information. It helps in providing a quick overview of key metrics and performance indicators.

• Dashboards enable data analysis and decision-making in real-time.

• They can be customized to display specific data relevant to different users.

• Dashboards enhance data visualization and make complex information easier to understand.

• They facilitate monitoring and tracking of progress towards goals.

• Dashboards improve communication and collaboration among teams.

• They enable data-driven insights and help identify trends and patterns.

• Dashboards can be accessed on various devices, making information easily accessible.

• They support data exploration and enable drill-down capabilities for deeper analysis.

What are the different data mining techniques?

1. Data cleaning and preparation

2. Tracking patterns

3. Classification

4. Association

5. Outlier detection

6. Clustering

7. Regression

8. Prediction

9. Sequential patterns

10. Decision trees

11. Statistical techniques

12. Visualization

13. Neural networks

14. Data warehousing

15. Long-term memory processing

16. Machine learning and artificial intelligence