WHITE PAPER:
Using a Visual Data Analytics Platform to Monitor and Manage Positions/Exposures in Real-Time Firms that engage in financial trading are exposed to counterparty risk (i.e., credit risk), market risk, and operational risk.
WHITE PAPER:
The IBM Smart Analytics System helps accelerate the delivery of insights for faster, smarter action; helps lower the cost of deriving more value from enterprise information; and features a modular architecture that enables organizations to easily add capacity and adapt to changing business needs. Check out this paper now to learn more.
WHITE PAPER:
Through the years, accounting standards have changed and older processes need to be refined with the new complexities. This paper discovers how to maintain a master annual report without the risk of inaccuracies with data consolidation.
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This paper looks at the historical development of BI applications and BI technology, and concludes that five common Styles of BI have evolved during the past decade - each style representing a certain characteristic usage.
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This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
WHITE PAPER:
Organizations in all industries and of all sizes are turning to business intelligence (BI) and data warehousing (DW) technologies and services to either automate or support decision-making processes.
WHITE PAPER:
SAP in-memory computing is putting the "r" back in "real-time" computing by bringing together online transaction processing (OLTP) applications and online analytical processing (OLAP) applications at a lower total cost. Get an in-depth look at how this technology will impact business.
WHITE PAPER:
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.