1. ISQS 6339, Data Management and Business Intelligence Cubism – Bells and Whistles Zhangxi Lin Texas Tech University 1

2. Outline Deploying and processing Cube design tabs \\bamctxfs\tshome \\bamctxfs\users\ \\bamctxfs\users\<your 2

3. Exercise 7: Customizing a Cube Project name: MMMCube2014_lastname Tasks ◦ Deploying and processing the cube created ◦ Define and debug calculations ◦ Define KPIs Deliverable: ◦ Screenshot of the successful deployment ◦ Screenshot of the results from the cube: calculated measures, KPIs, and drill down/up result. 3

4. 4 Deploying and Processing

5. Deploying The first step to creating s useful Analysis Service structure, moving the project’s definition from the development environment to a server environment Allows access of users. The objects reside on an Analysis Service database

6. Processing The procedure that pumps the database full of the good stuff. After having been processed, an Analysis Service database reads data from its data source. Dimensions are populated with members. Measures are populated with facts. The aggregates for all the combinations within the dimensional hierarchy are calculated. Then the Analysis Service database is ready for analysis to begin.

7. 7 CUBE DESIGN TABS

8. Understanding the Cube Designer Tabs Cube Structure: Use this tab to modify the architecture of a cube. Dimension Usage: Use this tab to define the relationships between dimensions and measure groups, and the granularity of each dimension within each measure group. Calculations: Use this tab to examine calculations that are defined for the cube, to define new calculations for the whole cube or for a subcube, to reorder existing calculations, and to debug calculations step by step by using breakpoints. KPIs: Use this tab to create, edit, and modify the Key Performance Indicators (KPIs) in a cube. Actions: Use this tab to create or modify drillthrough, reporting, and other actions for the selected cube.. Partitions: Use this tab to create and manage the partitions for a cube. Partitions let you store sections of a cube in different locations with different properties, such as aggregation definitions. Perspectives: Use this tab to create and manage the perspectives in a cube. A perspective is a defined subset of a cube, and is used to reduce the perceived complexity of a cube to the business user. Translations: Use this tab to create and manage translated names for cube objects, such as month or product names. Browser: Use this tab to view data in the cube. ISQS 6339, Data Mgmt & Business Intelligence 8

9. Key Performance Indicators (KPIs) Digital dashboard Creating a KPI ISQS 6339, Data Mgmt & Business Intelligence 9

10. The MDX expression for KPI Status Expression (MaxMinManufacturingDM) Case When ROUND([Measures].[percent Rejected],4) < 0.0103 Then 1 When ROUND([Measures].[percent Rejected],4) >= 0.0103 AND ROUND([Measures].[percent Rejected],4) >= 0.0104 Then.5 When ROUND([Measures].[percent Rejected],4) >= 0.0104 AND ROUND([Measures].[percent Rejected],4) >= 0.0105 Then 0 When ROUND([Measures].[percent Rejected],4) >= 0.0105 AND ROUND([Measures].[percent Rejected],4) >= 0.0106 Then -.5 Else -1 End ISQS 6339, Data Mgmt & Business Intelligence 10

11. 11 Calculated measure (for a different fact table) This should be “Standard”

12. 12 KPI definition and deployment

13. ISQS 6339, Data Mgmt & Business Intelligence 13 KPI Browser Browser View

14. Actions Instructions stored inside the cube Allow the OLAP cubes to “reach out and touch someone.” Enable us to define commands, statements, and directives that are to be executed outside of the cube Linked to certain objects in the cube, which can be enacted as a menu when a user is browsing the objects. The user can select one of the these actions to accomplish certain tasks. ISQS 6339, Data Mgmt & Business Intelligence 14

15. Types of Actions Action ◦ Dataset ◦ Proprietary ◦ Rowset - Retrieve a rowset. ◦ Statement ◦ URL Drillthrough Action. Defines a dataset to be returned as a drillthrough to a more detailed level Report Action. Launch a SQL Server 2005 Reporting Services report ISQS 6339, Data Mgmt & Business Intelligence 15

16. 16 Defining Actions

17. 17 Perspectives

18. 18 Translations

19. Q & A Conceptual level ◦ What are rationale behind the structure of “Data Source”, “Data Source View” and “Cube”? ◦ Why time dimension is so important in a data mart? ◦ Why is the multi-levels of dimensions, such as Material-MachineType-Machine in MaxMinManufacturingDM, useful? ◦ Why do you need to change the primary key of DimTime after it was created from the MaxMinManufacturingFact table? ◦ Can you summarize a number of main differences between a regular database design and a data mart design? Technical level ◦ After you made changes in a data source node why do you have to check “Mapping” in the data destination node again? ◦ When there is a red wave line under an object, such as a table during cube design, what does it imply? How to solve it? Specifically, when a fact table has such a problem how could it be fixed? ◦ Why not all dimensions appear in the cube structure diagram? ◦ Do you understand the parameters configured in the data flow tasks, such as those in data sources, data destination, Aggregate node, Derived Column node, etc? 19

20. Data Mining with SQL Server 2008 Microsoft Data Mining Demo -- Scenario Analysis 4’42” Microsoft Data Mining Demo -- Scenario Analysis 4’42” Microsoft Data Mining Demo -- Scenario Analysis Microsoft Data Mining Demo -- Scenario Analysis