"OLAP" stands for "Online Analytical Processing" and refers to a technology that enables the analysis and querying of multidimensional data models. OLAP systems are designed to perform complex analyses of large datasets and support business decision-making.
Typical features of software in the OLAP domain could include:
Multidimensional Data Modeling: The software allows for the modeling of data in multiple dimensions to capture complex relationships between different data attributes.
Ad-hoc Queries: Ability to perform spontaneous queries and analyses without the need for predefined reports or queries.
Slicing, Dicing, and Drill-Down: Features for filtering (Slicing), grouping (Dicing), and exploring in detail (Drill-Down) data across various dimensions.
Aggregation and Roll-Up: Ability to summarize data at different levels of hierarchy for better overview and analysis.
Reporting and Visualization: Generation of reports and visualizations to understand and communicate complex data patterns and trends.
Integration Capabilities: Integration with other data sources and BI tools for more comprehensive analysis capabilities.