Warehouse Analytics

Incorporate Best Practice and Accelerate Analytic Deployments

Warehouse Analytics is a packaged data warehouse designed to meet the unique needs of your business users. It allows you to access, integrate, and optimize your data for cross-departmental reporting and analysis. Warehouse Analytics also provides accelerated implementation time, lower development and deployment costs, reduced project risk, and simplified data sourcing and metadata management.

Key Features

An Enterprise Analytic Data Model

BusinessObjects Warehouse was designed from the top down, and meant to be implemented from the bottom up. It optimizes your enterprise data for end user query, reporting, and analysis, and allows you to incrementally deploy analytics across the organization. So you can ensure that all your users are making decisions based on one version of the truth.

Embedded Best Practice and Data Warehousing Expertise

Created with Ralph Kimball's data warehouse design techniques in mind, BusinessObjects Warehouse has a modular approach that allows you to rapidly and incrementally implement the data warehouse in a way that best meets your user needs. And because your users can access and integrate data from operational and legacy systems, they get the information they need, when they need it.

Open, Flexible Architecture for Easy Customization

You can use BusinessObjects Warehouse as your organization's central source for in-house and custom analytic applications. BusinessObjects Warehouse handles complex hierarchies and flexibly copes with continuously evolving data sources and business requirements, so it complements your operational applications and packaged solutions investment.