Business Intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all of the factors that affect your business. It is imperative that you have an in depth knowledge about factors such as your customers, competitors, business partners, economic environment, and internal operations to make effective and good quality business decisions. Business intelligence enables you to make these kinds of decisions.
White Paper Published By: AKS-Labs
Published Date: Mar 20, 2007
Business professionals lack essential information about real-life metrics and information on how to build a Balanced Scorecard, which supports weights and scores, which allows calculating the performance values. This whitepaper is a Balanced Scorecard design toolkit, which contains some "how-to" ideas.
Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
White Paper Published By: Siperian
Published Date: Jan 24, 2007
Master Data Management is a cohesive strategy for managing all master data domains. Where is your organization most likely to derive business value from a Master Data Management solutions? This report answers these questions and details the path forward: Adaptive Master Data Management.
White Paper Published By: IBM
Published Date: Dec 12, 2006
This white paper will outline the components of the Banking Data Warehouse (BDW) and how they assist financial institutions to address the data modeling and data consolidation issues relating to the Basel II Capital Accord.
White Paper Published By: Clarabridge
Published Date: Dec 06, 2006
This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.