OLAP Theory-English version

Transcription

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 OLAP Terms and Concepts Relational database Multidimensional database 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 Cube OLAP Terms and Concepts 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 Mart Decision Support Information Data Warehouse Data Mart Decision Support Information Data Mart Decision Support Information

19 OLAP architecture OLAP (Technology) METADATA

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

21 21 Reporting Reporting (NAV tools or JETs)

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

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

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

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

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

27 27 Analysis examples Some chosen analysis examples (JETs)