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1. Using statistical techniques and machine learning algorithms to analyze current and historical data to make predictions about future events and outcomes in business intelligence.
2. A visual display of key performance indicators (KPIs) and other important business metrics, providing a real-time snapshot of the organization's performance.
3. The second step in the ETL process, which involves converting and restructuring the extracted data into a format suitable for the destination system or application.
4. The process of identifying and capturing changes made to data in real time, enabling real time updates to data warehouses.
5. The process of ensuring the accuracy, completeness, and quality of the extracted and transformed data.
6. The process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in data stored in the data warehouse.
7. The process of updating data in a data warehouse as soon as new information becomes available.
8. The process of inspecting, cleaning, transforming, and modeling data to discover useful information that can support decision-making in business intelligence.
9. Processing data in large blocks at scheduled intervals.
10. The process of retrieving or pulling data from the source systems or applications.
11. The process of discovering patterns, insights, and valuable information from large datasets stored in the data warehouse.
12. A smaller, specialized subset of a data warehouse that is focused on a particular business function or department.
13. A central table in a data warehouse that contains the primary measures or metrics of a business process.
14. The graphical representation of information and data, using visual elements such as charts, graphs, and maps, to facilitate understanding and decision-making in business intelligence.
15. Where data is processed in small, fixed-size batches rather than processing the data all at once.
16. A technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers, and other end-users make more informed business decisions.