This document discusses the author's experience with various Microsoft business intelligence technologies including SQL Server, SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, and PerformancePoint Server. It provides examples of how the author has used these technologies to build data models, extract and transform data, create cubes and dimensions, develop reports, and design dashboards. Screenshots are included of two dashboards built in PerformancePoint Server and deployed to SharePoint.

1. Business Intelligence Portfolio Microsoft Technologies Gregory Lee [email_address] 828.638.5525

2. Database Modeling T-SQL SQL Server Integration Services (SSIS) SQL Server Analysis Services (SSAS ) MDX SQL Server Reporting Services (SSRS) Performance Point Server (PPS)

3. This data model was built in MS Visio and was used to generate a SQL script that creates an empty staging database which will be used as the source for an SSAS cube

5. The following Stored Procedure is used as the definition for a parameter in an SSRS report

6. Master Control Flow

7. This control flow is called by the Master package A series of Excel files are processed using a Foreach Loop container A Script task is used to maintain a total count of records processed across all Excel files An E-mail will be sent upon success or failure of the package Time Sheet Control Flow

8. Time Sheet Data Flow

9. Time Sheet Script Task Counter

10. My Experience with SSAS involves the following: Creating data sources and data source views Creating cubes using the cube wizard Creating/editing dimension/fact relationships on the dimension usage tab Building dimension hierarchies Creating Calculated Members and KPIs Setting up MOLAP partitions Creating Perspectives Implement data security in cubes using Roles

11. Two calculated members are used in the KPI

12. KPIProfitPct setup

13. KPIProfitPct display in MS Excel 2007

14. % Change in Current Quarter over Last quarter

15. Monthly Sales Including QTD, YTD and All Time

16. This SSRS report compares weekly overhead expenses for the selected quarter to that of the previous quarter and displays the % change This report contains two quarter parameters: one controls the quarter selection and the other is used to display the previous quarter header Conditional formatting is used to display % change > 0 in red and <= 0 in black

17. This is the primary query for the report

18. This is the quarter parameter query for the report

19. This is the previous quarter parameter query

20. This SSRS report displays hours worked and total labor billed per weekending date within a selected date range for a given employee This report contains three parameters: Employee Name, Begin Date and End Date A cascading parameter is used for Begin Date and End Date so that only week end dates where the employee worked will be available for selection

21. This is the primary query for the report This is the Employee Name parameter query for the report

22. This is the Begin Date parameter query for the report

23. This is the End Date parameter query for the report

24. The next series of slides are snapshots from two PPS dashboards as they look when deployed to a SharePoint site Both dashboards were built using Performance Point Server Designer The dashboards incorporate a combination of KPI Scorecards, Analytic Charts, Analytic Grids and Excel Services Reports The MDX query behind one of the more complex dashboard components will be displayed after the slide of the corresponding dashboard page All dashboard source data is from an SSAS Cube

25. The Scorecard page of the dashboard is composed of two KPI Scorecards: The Overhead Scorecard, The Client and Construction Job Financials It allows a user to view the trends for several KPIs The Overhead Scorecard is connected to a list filter based on quarter The KPIs where imported from an SSAS cube.

26. The Overhead page of the dashboard is composed a single analytic line chart linked to a multiple select tree filter It allows the user to display one or more overhead line items for comparison over time

27. The Employee Labor Analysis page of the dashboard is composed of one analytic chart and one analytic grid connected to a list filter based on Employee Name The chart allows the user to view the labor billed by a given employee and shows what percent their total labor billed is compared to the total labor billed by all employees who worked the same job The grid lists all jobs worked by the selected employee in descending order based on % of total

28. This is the MDX query behind the % of Quarterly Labor Dollars Analytic Chart

29. The Job Profitability Chart page of the dashboard is composed of an Excel pivot table overlaid by a pivot chart and has been connected to a multiple select tree filter based on County

30. My experience with SharePoint Server is related to the following: Creating new SharePoint sites Adding Libraries to a SharePoint site Adding/Editing Web Parts to existing pages Deploying SSRS documents, Excel spreadsheets and PPS Dashboards into specified document libraries Setting up shared schedules Scheduling SSRS reports using an independent or a shared schedule Granting users and/or groups access to libraries and library content