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 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:
Uncertainty makes strategic planning complex. Removing uncertainty can create unlimited business value. There are solutions to help organizations overcome uncertainty and achieve results. Read this white paper to learn how to drive strategic planning with predictive modeling.
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:
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.
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:
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:
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.