(1) speed
Users have high requirements for the quick response ability of OLAP. The system should be able to respond to most analysis requirements of users within 5 seconds. If the end user doesn't get a response from the system within 30 seconds, he will become impatient, so he may lose the main clue of analysis and affect the quality of analysis. For a large number of data analysis, it is not allowed to reach this speed, so some technical support is needed, such as special data storage format, a large number of pre-calculations, special hardware design and so on.
(2) analyzability
OLAP system should be able to handle any logical analysis and statistical analysis related to applications. Although the system needs to be programmed in advance, it does not mean that the system has defined all applications. Users can define new special calculations as part of the analysis without programming, and provide users with reports in an ideal way. Users can analyze data on the OLAP platform, and can also connect with other external analysis tools, such as time series analysis tools, cost allocation tools, unexpected alarms, data mining and so on.
(3) Multi-dimension
Multidimensionality is the key attribute of OLAP. The system must provide multi-dimensional views and analysis of data analysis, including comprehensive support for hierarchical dimensions and multi-level dimensions. In fact, multidimensional analysis is the most effective method to analyze enterprise data and the soul of OLAP.
(4) information
No matter how big the data is and where it is stored, OLAP system should be able to obtain information in time and manage large-capacity information. There are many factors to consider here, such as data replicability, available disk space, the performance of OLAP products and the degree of integration with data warehouse.
At present, FineBI of Fansoft Company supports a variety of data sources and olap analysis functions, which is very suitable for data analysis and display.