SAS/EIS software enables users to build applications based on high-level components, such as viewers (pre-built reports), data models, and metadata. The Multidimensional Data Provider (MDP) is a data ...

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, ...

In conclusion, structured, multidimensional data is the cornerstone of AI-driven talent management, enabling organizations to unlock insights, optimize processes, and drive strategic outcomes.

This chapter briefly introduces methods by which you can further customize EIS multidimensional applications. To implement most of the suggested techniques, you should have an advanced knowledge of ...

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.