In a sense, the conceptual data model serves as a bridge between a business model and the multidimensional data model. The solutions architect is the primary user for the conceptual data model.

OLAP: Online Analytical Processing systems designed for real-time, multidimensional data analysis. Enhanced Cube: A multidimensional data structure augmented with analytical model insights to ...

Key components of Multi-Dimensional Modeling include measures, dimensions, cubes, hierarchies, aggregation, and OLAP systems. “These elements work in tandem to organize and analyze data efficiently, ...

Multidimensional analysis, or the use of pre-computed OLAP cubes, used to be a primary method for quickly obtaining useful information from reams of data, but has largely fallen out of favor in the ...

April 2001 “AlphaBlox has always supported open industry standards in its solutions. We look forward to the two leading OLAP providers driving the evolution of XML for Analysis to support a single XML ...

The OLAP module can also easily aggregate data from 3rd party sources such as Microsoft Excel and OEM systems. Utilising a familiar tool like Excel, provides a level of confidence in data delivery.

Simba Technologies Inc., a provider of standards-based data access products, solutions and services for both relational and multi-dimensional data sources, has announced that Oracle's Technology ...

The decision making processes need to reflect changes in the business world in a multidimensional way. This paper includes also similar way of viewing the data for carrying out key decisions that ...

Simba Technologies Inc., a provider of standards-based relational and multi-dimensional data connectivity drivers, has announced the beta release of its native Microsoft Excel 2007 connector to Oracle ...

Pentaho is releasing on Tuesday olap4j 1.0, which provides an open source API for Java developers to access multiple OLAP (Online Analytical Processing) servers in business intelligence applications.