Axional Analytics is designed to convert data into usable information by enhancing data aggregation, providing users with the insight they need for effective decision-making about their organization’s strategic direction.
To support data warehouses where data is very dynamic, continuously changing, Axional Analytics uses a ROLAP Engine. The purpose of the engine is to respond to queries from cube end users, no matter how complex those queries may be.
One of the main advantages of the ROLAP model is the capacity to manage very large volumes of data. When Axional Analytics is combined with Informix Ultimate Warehouse Edition, analytic queries are dramatically accelerated, and users can observe significant performance gains with no changes to their business applications required.
Informix Ultimate Warehouse Edition includes the Informix Warehouse Accelerator (IWA), which leverages a columnar approach to accelerate warehouse queries 100 times over or more. The tight links between IWA and transaction-oriented Informix systems offer the ability to integrate analytic business insights into operational processes.
For very large data warehouses, the high-availability secondary servers of an Informix MACH11 environment can now be used to accelerate queries, as well as administering and loading data marts. Secondary servers are perfectly suited for dealing with the rather static data in data marts. By connecting secondary servers to the Informix Warehouse Accelerator, companies gain greater flexibility in a mixed-workload environment, leaving primary servers free to exclusively handle OLTP. The result is increased availability and throughput for all servers in the high-availability cluster.
When geographic analysis is required to reveal trends and patterns that are otherwise hidden in alphanumerical data, Axional Analytics takes advantage of Informix Spatial capabilities that can help you implement spatial data warehouses to support your business intelligence objectives.
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