1. 9 Analytical Capabilities

2. What Is Business Intelligence? “Business Intelligence is the process of gathering meaningful information about the subject matter being researched. ” — Jonathan Wu

3. Evolution to BI Executive information systems (EIS) Decision support systems (DSS) Business intelligence (BI) EIS DSS BI

4. Categories of Business Intelligence Tools Reporting tools and query tools for data access Data mining OLAP

5. Query Tools Query scheduling: Manages information usage Directs queries Executes queries Sets job queue priorities Query monitoring: Tracks resource- intensive queries Detects unused queries Catches queries that use summary data inefficiently Catches queries that perform regular summary calculations at the time of query execution Detects illegal access

6. Multidimensional Query Techniques Slicing Product Time Geography Dicing Drilling down What? Why?

7. Multidimensional Query Techniques Drilling across What? Why? Drilling up Pivoting

8. Base Table The Base table is the original detail data. CategoryGroupYearQuarterQuantity ClothesEclipse Clothing20021881 ClothesEclipse Clothing200222015 ClothesEclipse Clothing200232454 ClothesEclipse Clothing200242124 ClothesGreen Tomato2002153 ClothesGreen Tomato20022131 ClothesGreen Tomato20023162 ClothesGreen Tomato20024134 ShoesEclipse Shoes200211508 ShoesEclipse Shoes200222421 ShoesEclipse Shoes200232498 ShoesEclipse Shoes200241857 ShoesTracker Shoes20021814 ShoesTracker Shoes200221375 ShoesTracker Shoes200231406 ShoesTracker Shoes200241097

9. CategoryGroupYearQuantity ClothesEclipse Clothing 20027474 ClothesGreen Tomato 2002480 ShoesEclipse Shoes 20028284 ShoesTracker Shoes 20024692 CategoryGroupYearQuarterQuantity ClothesEclipse Clothing20021881 ClothesEclipse Clothing200222015 ClothesEclipse Clothing200232454 ClothesEclipse Clothing200242124 ClothesGreen Tomato2002153 ClothesGreen Tomato20022131 ClothesGreen Tomato20023162 ClothesGreen Tomato20024134 ShoesEclipse Shoes200211508 ShoesEclipse Shoes200222421 ShoesEclipse Shoes200232498 ShoesEclipse Shoes200241857 ShoesTracker Shoes20021814 ShoesTracker Shoes200221375 ShoesTracker Shoes200231406 ShoesTracker Shoes200241097 Aggregation An aggregation is the summarization of one or more levels....

10. OLAP Cube A OLAP cube contains summarized information. Aggregations OLAP Cube

11. Preparation is the Key Building an OLAP cube requires understanding the business needs. One of the key points to consider is deciding the balance between reporting response and storage space. + Faster Reporting Speed - Higher Disk Space Usage - Slower Cube Build Time Many Aggregations + Lower Disk Space Usage - Slower Reporting Speed + Faster Cube Build Time Few Aggregations

12. Data Mining Tools Enable proactive business decisions Refer to a process rather than a technology Assist with BI decisions by: –Preventing customer attrition –Stimulating cross-selling –Stimulating acquisition of new customers –Detecting fraud –Providing accurate customer profiles

13. OLAP Tools Provide the ability to perform: Intensive data analysis by seamlessly drilling or pivoting Clickstream analysis if Web-enabled Complex calculations

14. OLAP Storage Relational database Multidimensional database Client-based files

15. OLAP Models Relational (ROLAP) Multidimensional (MOLAP) Hybrid (HOLAP)

16. Web-Enabling the Data Warehouse Provides information and competitive advantage Shares ownership of data Collects information Makes deployment easier Supports an Intelligent Webhouse Improved ROI

17. Challenges of Web-Enabling the Data Warehouse Security Impact assessment on the infrastructure Integration Clickstream analysis

18. Security Issues in Deploying the Web-Enabled Data Warehouse Subject area sponsors: –Review and authorize access requests –Identify enhancements Transparent security or unobtrusive security Should be easy to implement, maintain, and manage Authentication