Chapter 20 - Data analysis. Data analysis and data mining are a subset of business intelligence, which also incorporates data warehousing, database management systems, and online analytical processing. In this chapter introduce data analysis with the following contents: Decision support systems, data warehousing, data mining, classification, association rules, clustering. | Chapter 20: Data Analysis Database System Concepts, 6th Ed. ©Silberschatz, Korth and Sudarshan See for conditions on re-use Chapter 20: Data Analysis Decision Support Systems Data Warehousing Data Mining Classification Association Rules Clustering Database System Concepts - 6th Edition ©Silberschatz, Korth and Sudarshan Decision Support Systems Decision-support systems are used to make business decisions, often based on data collected by on-line transaction-processing systems. Examples of business decisions: What items to stock? What insurance premium to change? To whom to send advertisements? Examples of data used for making decisions Retail sales transaction details Customer profiles (income, age, gender, etc.) Database System Concepts - 6th Edition ©Silberschatz, Korth and Sudarshan Decision-Support Systems: Overview Data analysis tasks are simplified by specialized tools and SQL extensions Example tasks For each product category and each region, what were the total sales in the last quarter and how do they compare with the same quarter last year As above, for each product category and each customer category Statistical analysis packages (., : S++) can be interfaced with databases Statistical analysis is a large field, but not covered here Data mining seeks to discover knowledge automatically in the form of statistical rules and patterns from large databases. A data warehouse archives information gathered from multiple sources, and stores it under a unified schema, at a single site. Important for large businesses that generate data from multiple divisions, possibly at multiple sites Data may also be purchased externally Database System Concepts - 6th Edition ©Silberschatz, Korth and Sudarshan Data Warehousing Data sources often store only current data, not historical data Corporate decision making requires a unified view of all organizational data,
