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Aleri upgrades data analysis engine

11 October 2004  |  1158 views  |  0 Source: Aleri

Aleri, a provider of innovative aggregation and analytics software today announced a general availability release of their flagship product, the Aleri Analysis Engine 3.0. The solution provides companies with greater visibility into their data, accelerating the performance of business intelligence and reporting environments.

Aleri, a provider of innovative aggregation and analytics software today announced a general availability release of their flagship product, the Aleri Analysis Engine 3.0. The solution provides companies with greater visibility into their data, accelerating the performance of business intelligence and reporting environments.

"Critical business initiatives such as financial reporting, compliance and business activity monitoring require the ability to aggregate, analyze and update large volumes of data on-demand, while accommodating frequent business change," says Don DeLoach, president and CEO, Aleri. "The Aleri Analysis Engine 3.0 delivers on this need, providing business with greater visibility on their information assets while leveraging existing investments in business intelligence and reporting tools."

Aleri Analysis Engine 3.0 offer enhanced performance, providing new features for updating transactions on-demand and automatically aggregating data, as well as query reuse and the combination of overlapping queries.

Increased interoperability is available through open standards-based access to data sources and interoperability with existing business intelligence and reporting applications. Aleri Analysis Engine 3.0 also features a streamlined interface and new functionality for migrating existing business rules and logic from legacy environments into the Aleri Analysis Engine.

Using the Aleri Analysis Engine 3.0 to fuel the performance of their business intelligence and reporting systems, customers are able to dynamically update analytic models to keep analytic and reporting models in line with changing business requirements.

It offers increased performance of existing business intelligence and reporting infrastructures, enabling the delivery of more granular-level data detail.

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