By adopting OLAP (Online Analytical Processing), data
service packages, statistical models, and metadata processing capabilities,
information flow and resource sharing can be quickly and easily realized, and
meaningful summary and analysis data can be provided to meet the needs of decision
makers and managers.
Independent analysis, ad hoc querying
Visually access the data source and perform ETL
processing, which is convenient for business personnel to conduct
self-service exploration by OLAP analysts according to business needs,
and fully exploit the value of data.
Multi-source integration, high performance
Support multi-data source association, build a unified
data decision and management platform, and eliminate data islands.
Support tens of millions of levels of data presentation and flexibly
respond to the needs of large data processing.