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Deltek Insight 2011: Business Intelligence with the MPM Data Warehouse

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  • 1. EPM 309: BusinessIntelligence with theMPM DataWarehouseEPM 309May 16, 2011Presented byTaiwo AwosikaSGT, Inc.
  • 2. Agenda Overview of Data Warehouse Benefits of Data Warehouse MPM Data Warehouse Structure (Project, WBS, RBS, …) Creating an OLAP cube with MPM Data Warehouse Creating cost reports from the OLAP cube in excel Creating cost reports from the OLAP cube with reporting services2 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 3. Key Session TakeawaysBy attending this session you will be able to: Understand the MPM data warehouse structure Create OLAP cubes from MPM data warehouse Generate reports with excel Generate reports with SQL reporting services Understand basic MDX query3 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 4. Overview of Data Warehouse Data Warehouses are designed for storing structured large data for historical information access and reporting.4 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 5. Overview of Data Warehouse "A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of managements decision making process“ (Bill Inmon, 1990). Subject Oriented: Data that gives information about a particular subject instead of about a companys ongoing operations. Integrated: Data that is gathered into the data warehouse from a variety of sources and merged into a coherent whole. Time-variant: All data in the data warehouse is identified with a particular time period. Non-volatile: Data is stable in a data warehouse. More data is added but data is never removed. This enables management to gain a consistent picture of the business. http://www.intranetjournal.com/features/datawarehousing.html5 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 6. Overview of Data Warehouse  A data warehouse is a database used for analyzing overall business strategy rather than routine operations.  A data warehouse database is not a relational database. A relational database stores data of routine operations. A data warehouse database usually store historic data and are suitable for reporting.  Data in an operational database can be transformed and moved into a data warehouse database.  A data warehouse consists of fact tables and dimension tables  The most commonly used data warehouse schema architecture are star schema and snowflake schema.6 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 7. Benefits of Data Warehouse  Data from multiple data sources can be combined to create meaniful information  Ability to extract, load, and transform data into a data warehouse system  Designed to handle large data set  Inconsistent data can be Identified and and resolved.  Data in the data warehouse can be used to create an online analytical processing (OLAP) cube  Ability to slice and dice data in the data warehouse into mutiple dimensions and present information at diffrent level of granularity.  OLAP can be used to apply security at the granularity  Users will be able to access information without understanding the data sources and data structure  Data mining can be applied on data in the data warehouse to extract patterns that can be used to put the company in a better competitive position.  Reports with chats can be generated for excutives to analize and help make critical decisions.7 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 8. MPM Data WarehouseStructureTable StructureProject header dataWork breakdown structure (WBS)Resource breakdown structure (RBS)TimeFact/Measures8 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 9. MPM Data Warehouse Structure9 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 10. MPM Data Warehouse StructureProject Tables10 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 11. MPM Data Warehouse StructureWBS Table11 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 12. MPM Data Warehouse StructureRBS Tables12 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 13. MPM Data Warehouse StructureTime13 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 14. MPM Data Warehouse StructureFact Table14 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 15. Creating an OLAP cube withMPM Data WarehouseDemo15 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 16. Creating an OLAP cube withMPM Data Warehouse1. Launch Business Intelligence Development Studio (BIDs) and create a new Analysis Service Project2. Create a new data source and use the wizard to connects to the MPM data warehouse3. Create a new data source view and use the wizard to add tables from the from the MPM data warehouse4. Use the cube wizard to create a new cube with Project, RBS, WBS, and time dimension.16 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 17. Creating cost reports from theOLAP cube in excelDemo17 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 18. Creating cost reports from theOLAP cube in excel1. Launch Microsoft Excel and use the data connection wizard to connect to your OLAP cube2. Create a PivotTable report with cost data3. Add charts18 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 19. Creating cost reports from theOLAP cube with reportingservicesDemo19 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 20. Creating cost reports from theOLAP cube with reporting services1. Launch Business Intelligence Development Studio (BIDs) and create a new Report Server Project2. Add a new shared data source using the shared data source wizard3. Create a cost report4. Add a chart20 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  • 21. Questions? www.twitter.com/deltek www.facebook.com/deltekinc www.linkedin.com/company/163414 www.youtube.com/user/deltekinc21 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved