Deltek Insight 2011: Business Intelligence with the MPM Data Warehouse

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Deltek Insight 2011: Business Intelligence with the MPM Data Warehouse

  1. 1. EPM 309: BusinessIntelligence with theMPM DataWarehouseEPM 309May 16, 2011Presented byTaiwo AwosikaSGT, Inc.
  2. 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. 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. 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. 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. 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. 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. 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. 9. MPM Data Warehouse Structure9 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  10. 10. MPM Data Warehouse StructureProject Tables10 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  11. 11. MPM Data Warehouse StructureWBS Table11 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  12. 12. MPM Data Warehouse StructureRBS Tables12 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  13. 13. MPM Data Warehouse StructureTime13 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  14. 14. MPM Data Warehouse StructureFact Table14 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  15. 15. Creating an OLAP cube withMPM Data WarehouseDemo15 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  16. 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. 17. Creating cost reports from theOLAP cube in excelDemo17 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  18. 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. 19. Creating cost reports from theOLAP cube with reportingservicesDemo19 May 16, 2011 ©2011 Deltek, Inc. All Rights Reserved
  20. 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. 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

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