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:
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:
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:
View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
WHITE PAPER:
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:
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.
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:
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.
