Publication year: 2007
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The book includes different aspects in the lifecycle of business intelligence on very large enterprise-wide operational real-time data sets. In today’s competitive and highly dynamic environment, analyzing data to und- stand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become critical. The traditional approach to reporting is not longer adequate; users now - mand easy-to-use intelligent platforms and applications capable of analyzing real-time business data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, enabled by the availability of up-to-date, high-quality information.
Subject: Computer Science, Business, Business-Intelligence, OLAP, On-Line Analytical Processing, architecture, business intelligence, business objects integration, business process, business process engineering, business process management, business process modeling, business rule specification, data warehouse, dynamic workflow modeling, learning