WHITE PAPER:
This white paper discusses Oracle Business Intelligence Standard Edition One, a powerful, integrated and comprehensive business intelligence system. Learn how to provide business insight, value, and ease of use for both, end users and administrators.
WHITE PAPER:
This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
WHITE PAPER:
This white paper describes how IBM's Information Server FastTrack accelerates the translation of business requirements into data integration projects. Data integration projects require collaboration across analysts, data modelers and developers.
WHITE PAPER:
Read this paper to learn all the factors you need to consider when choosing a data modeling tool. You will learn about the different model types and how each tool measures up to the demanding needs of your company today and in the future. This paper will lay out all the information you need to make a clear decision on data modeling today.
WHITE PAPER:
The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
WHITE PAPER:
This paper outlines the best practices for collecting network and application performance information over MPLS enabled wide area networks by using the nGenius Solution's Site Monitoring feature to monitor traffic flows destined for remote sites.
WHITE PAPER:
Visual analytics is the process of analytical reasoning facilitated by interactive visual interfaces. Its becoming the fastest way for people to explore and understand Business Intelligence data of any size. This paper will introduce you to the seven essential elements of true visual analytics applications.
WHITE PAPER:
Visual representations are a fundamental component of human learning and understanding. To study the impact of data visualization, we must first look to the past and see how our ways of shaping and representing data have changed over time. This paper traces the history of visual representation, from cave drawings to the computer revolution.
