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Presentation transcript:

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

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

OLAP market size

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

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. “

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

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

OLAP Terms and Concepts

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

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

MS Dynamics NAV Analysis by Dimensions

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

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

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

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

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.

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.

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.

OLAP Cube

Reporting (NAV tools or JETs) Reporting 20

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,..)

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

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

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

Inventory Dashboard 25

Some chosen analysis examples (JETs) Analysis examples 26

On-line Transaction Processing and OLAP

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)

Business Intelligence Architecture ERP