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1. The BI focus on historical data to inform current business performance.
3. A key component of data quality, ensuring correctness and freedom from error.
4. The characteristic referring to the sheer size and magnitude of data.
10. The subject concerned with applying analytics to strategic decisions.
14. A set of rules or calculations used by a computer to solve a problem.
15. The learning methods used in data science for pattern recognition.
16. The measure of accuracy, trustworthiness, and quality of the data.
19. A common method for collecting data, often involving questionnaires.
20. The type of analytics that answers the question "What happened?".
24. The highest level of analytics that recommends an optimal course of action.
25. A data source from within the organization, like CRM or ERP systems.
26. The deepest level of understanding, derived from organized information.
28. The primary goal of predictive analytics using statistical models.
29. A framework or simplified representation used to test hypotheses or predict outcomes.

1. Data that has been processed and organized to gain meaning.
2. The focus of Business Analytics to improve operational efficiency and workflow.
5. The principles concerning fairness, transparency, and accountability in using Big Data.
6. The overall state of data, characterized by accuracy and consistency.
7. Actionable and valuable knowledge derived from analyzed data.
8. The raw facts and figures that form the foundation of analytics.
9. The type of analytics that explains the reasons "Why did it happen?".
11. The discipline using advanced algorithms to predict the future (Data)
12. The mix of structured and unstructured data types being collected.
13. The principle of properly handling and securing sensitive personal information.
17. The role focused on manipulating data and communicating business findings.
18. The type of analytics used to forecast or estimate future outcomes.
21. A data source from outside the organization, such as social media or third parties.
22. The speed at which data is generated, processed, and often streamed in real-time.
23. A data quality characteristic referring to how current the information is.
27. The worth or usefulness derived from analyzing Big Data.