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OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy.

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Presentation on theme: "OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy."— Presentation transcript:

1 OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy

2 Agenda The Market Why OLAP (On-Line-Analytic-Processing 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 (CEO,..) and executive managers (CFO,..) Access –Fast consistent, interactive –Wide variety of possible views Transformation of –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 (components to final product) –Distribution Cost of shipping –etc

8 OLAP Terms and Concepts

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

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

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

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

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

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. Measure Quantitative values.

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. Data slice –A subset of the data in a partition.

17 OLAP Cube

18 Data Warehouse->Data Marts (Technology) Data Warehouse Data Mart Decision Support Information Decision Support Information Decision Support Information

19 OLAP architecture OLAP (Technology) METADATA

20 Data pump (Technology) Prime transaction oriented system (ERP,CRM,..) Data warehouse Data pump

21 Reporting (NAV tools or JETs) Reporting 21 http://www.jetreports.com/jet-essentials/reporting-solutions.php

22 Main principles (source tables and their entries) Main principles 22 Customer Vendor Item Account Dimension Control parameters ( time, type of products, Costs, Revenue, Area,..) Control parameters ( time, type of products, Costs, Revenue, Area,..)

23 Some chosen analysis asked by not named important customer (prospect) in the Czech Republic Analysis Working capital – setup of the accounting schedule from NAV 23

24 Analysis Working capital – Show of the results from NAV 24 Some chosen analysis asked by not named important customer (prospect) in the Czech Republic

25 Working Capital JETs Working capital – Show of the results from JETs 25 Some chosen analysis asked by not named important customer (prospect) in the Czech Republic

26 Inventory Dashboard 26 Some chosen analysis asked by not named important customer (prospect) in the Czech Republic

27 Some chosen analysis examples (JETs) Analysis examples 27


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