1. OLAP Theory-English version On-Line Analytical processing (Buisness Intelligence) Ing.Skorkovský,CSc Department of Corporate Economy Faculty of Economics and Administration Masaryk Uinverzity Brno Czech Republic

2. Agenda The Market Why OLAP Introduction to OLAP OLAP Terms and Concepts Summary

3. OLAP market size

4. Why OLAP The Right Information In The Right Place At The Right Time Why –More self-sufficient Business users –Keep the integrity of the data –Reduces the query drag(burden) and network traffic –Organization can respond more quickly to market demands

5. Introduction to OLAP “OLAP enables analysts, managers, and executives to gain insight into data through fast, consistent, interactive access to a wide variety of possible views of information. OLAP transforms raw data so that it reflects the real dimensionality of the enterprise as understood by the user. “

6. Introduction to OLAP Users –Analysts, managers and executive managers Access –Fast consistent, interactive –Wide variety of possible views Transformation –Raw data –Real dimensionality of enterprise

7. Introduction to OLAP Organizational functions –Finance Budgeting Performance analysis –Sales Sales analysis and forecasting –Marketing Market research analysis Market/customer segmentation –Purchase Cost of materials –Production Cost of conversion –Distribution Cost of shipping –etc

8. OLAP Terms and Concepts

9. Relational database Multidimensional database OLAP Terms and Concepts Relational database Multidimensional database

10. MS Dynamics NAV Relationships Sales Line Order Location List Location card Bins Tab Bins List Bin Contents

11. MS Dynamics NAV Analysis by Dimensions

12. OLAP Terms and Concepts Cube –Information Is conceptually viewed as cubes.

13. OLAP Terms and Concepts Cube –Information Is conceptually viewed as cubes. Dimension –Distinct categories for business data.

14. OLAP Terms and Concepts Cube –Information Is conceptually viewed as cubes. Dimension –Distinct categories for business data. Hierarchy –Levels of details on the data.

15. OLAP Terms and Concepts Cube –Information Is conceptually viewed as cubes. Dimension –Distinct categories for business data. Hierarchy –Levels of details on the data.

16. OLAP Terms and Concepts Cube –Information Is conceptually viewed as cubes. Dimension –Distinct categories for business data. Hierarchy –Levels of details on the data. Measure –Quantitative values.

17. OLAP Terms and Concepts Cube Information Is conceptually viewed as cubes. Dimension Distinct categories for business data. Hierarchy Levels of details on the data. Measure Quantitative values.

18. OLAP Terms and Concepts Cube –Information Is conceptually viewed as cubes. Dimension –Distinct categories for business data. Hierarchy –Levels of details on the data. Measure –Quantitative values. Data slice –A subset of the data in a partition.

19. OLAP Cube

20. Reporting (NAV tools or JETs) Reporting 20

21. Main principles (source tables and their entries) Main principles 21 Customer Vendor Item Account Dimension Control parameters ( time, type of products, Costs, Revenue, Area,..) Control parameters ( time, type of products, Costs, Revenue, Area,..)

22. Analysis Working capital – setup of the accounting schedule from NAV 22 Some chosen analysis asked by CFO of company X in Czech Republic

23. Analysis Working capital – Show of the results from NAV 23 Some chosen analysis asked by CFO of company X in Czech Republic

24. Working Capital JETs Working capital – Show of the results from JETs 24 Some chosen analysis asked by CFO of company X in Czech Republic

25. Inventory Dashboard 25

26. Some chosen analysis examples (JETs) Analysis examples 26

27. On-line Transaction Processing and OLAP

28. Terminoly - metadata Meta data is the data defining warehouse objects. It has the following kinds Description of the structure of the warehouse (location, dimension, used schema..) The algorithms used for summarization Business data ( business terms and definitions, ownership of data)

29. Business Intelligence Architecture ERP