WHITE PAPER:
This whitepaper explains the importance of having a proper database management system in the age of Big Data. A good DBMS will prove accurate data to analytics and BI systems in real time.
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.
WHITE PAPER:
This white paper discusses two Oracle OLAP solutions: Oracle's Hyperion Essbase and Oracle Database 11g OLAP Option which share similar characteristics but are individuals with their differences.
WHITE PAPER:
This paper will discuss how Vertica enhances the capabilities of analytical work through the implementation of different architecture for relational database-based analytical work. By simply rotating the orientation of the database from rows to columns, dramatic improvements in load and query speed, scalability and cost effectiveness are achieved.
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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.
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:
Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
WHITE PAPER:
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:
Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.