To track changes in customer addresses without retaining the history of previous addresses, you should implement SCD Type 1. This type overwrites existing data with the new address information, ensuring that only the most recent data is retained. SCD Type 2, 3, and 4 involve preserving historical data, which is not necessary in this scenario.

The table in a data warehouse that typically contains metrics and key performance indicators (KPIs) is the Fact Table. Fact tables store numerical data related to business processes and events and serve as the core for data analysis and reporting in data warehousing.

Geospatial Visualization involves using geographic data to create maps that represent specific data points or trends. It allows the visualization of data in a geographical context, making it useful for location-based insights and decision-making.

The OLAP operation that involves reducing the dimensionality of a data cube by fixing one or more dimensions at a single value is "Roll-up." This operation allows for aggregation or summarization of data, moving from lower-level detail to higher-level summaries, providing a more compact view of the cube.

When a potential IT threat is identified, and its business impact is deemed to be very low, a suitable course of action is to monitor the situation and take no immediate action. It's essential to prioritize resources and efforts based on the level of risk and potential business impact. Replacing the software immediately or developing a comprehensive risk mitigation strategy may not be warranted for low-impact threats.

Real-time Business Intelligence (BI) systems frequently use Stream Processing to capture and process incoming data streams quickly. Stream processing enables real-time analysis and decision-making by handling continuous data flows.

The OLAP operation known as "Drill-down" allows users to navigate from a higher level of aggregation to a lower one, providing more detailed data. This is essential for exploring data hierarchies and gaining insights into specific elements within a broader context.

A "materialized view" in a data warehouse is a precomputed summary table that helps speed up query performance. It stores aggregated or computed data, reducing the need to perform complex calculations during queries, thereby improving response times for analytical queries. Materialized views are valuable in data warehousing for optimizing query performance.

To integrate supply chain management with financial accounting, the primary ERP module to consider is the Finance module. This module handles financial transactions, budgeting, and accounting processes, making it essential for tracking the financial aspects of the supply chain. While other modules are important, finance is the core module for financial integration.

The concept in ERP systems where data is entered once and can be accessed from multiple applications without redundancy is known as "Single Point Entry." This approach reduces data duplication and ensures data consistency and accuracy across the organization.