vs.

OLAP

Geographyheirarchy

Salescampaigns

Other dimension

Products

Time

Sales, profit,costs, key

numbers, etc.

Salesorganization

Star Scheme

Snowflake Scheme

Geographyheirarchy

Salescampaigns

Other dimension

Products

Time

Sales, profit,costs, key

numbers, etc.

Salesorganization

Products

Time

Other dimension

Other dimension

Geographyheirarchy

Salesorganization

Data Warehouse

Geographyheirarchy

Salescampaigns

Other dimension

Products

Time

Sales, profit,costs, key

numbers, etc.

Salesorganization

Products

Time

Other dimension

Other dimension

Geographyheirarchy

Salesorganization

Relational OLAP

Data Warehouse

SQL queries are generated graphically. Flexible, but neither fast nor user-friendly.

User Interface

Multidimensional OLAP

Data Warehouse

User Interface

Hyper CubeBuild the cube. Lots of Data. Slow. Everything must be predefined.

Every click is a query. Fast, but not flexible. Limited number of dimensions.

Hybrid OLAP

Data Warehouse

User Interface

Hyper Cube

Every click is a query. Fast, but not flexible. Limited number of dimensions.

Drill-through when needed. Slow, and not user-friendly.

Data Warehouse

User Interface

QlikView file

Relational database inside QlikView document.

Data Warehouse

User Interface

QlikView file

Data Warehouse is not required. Any data source will do.

Data Source

User Interface

QlikView file

Load the data… then work off-line!

User Interface

QlikView file

Every click is a query. Extremely fast, and very flexible.

Click !

The selection propagates through the relational database. The technology used is called AQL.

User Interface

AQL™ The patented AQL technology performs its associations when a QlikView user makes a query through the point-and-click interface.

As a value or several values (in a dimension) are selected, QlikView makes a split second association showing only values (in other dimensions and measures) associated with the current selection.

Simultaneously, graphs and tables (holding one or several general expressions), are calculated to show the result of the current selection.

Any number of Virtual hypercubes (Pivot tables, Diagrams, Gauges etc.) can be put in the QlikView document.

These are calculated on demand, i.e. on every click.

User Interface

• MOLAP– Limited number of dimensions– Not Flexible

• ROLAP– Not User-friendly

• HOLAP– A poor combination of the two above methods

Summary

• Data warehouse not necessary• Unlimited number of dimensions• Possibility for several hypercubes talking to

each other• Flexible• User-Friendly

Summary