BUSINESS INTELLIGENCE SYSTEM

Business Intelligence System

Business Intelligence System

Introduction

Fundamentally, business intelligence systems make great use of data marts and data warehouses as well as operational databases for the purpose of measuring historical activity. Over time, however, business intelligence activities have expanded to include other kinds of data, information, and knowledge that are future oriented. For example, software developers and their clients are integrating data mining tools to anticipate the future based on historical data, information, and knowledge or visualization tools to scan quickly large amounts of relevant information and knowledge.

Most of the organizations are using Oracle's SAP program for the purpose of business intelligence since its high reliability, durability and secured configuration and these are the factors that make SAP outstanding of the lot of the softwares mentioned below and used by other firms.

These systems, not technical expertise, are the important means to growing a business organization. Business intelligence systems such as SAP require vision, money, and patience in their development and implementation. Essentially, BISs center on a full understanding of information and knowledge that is derived from data (Thierauf, 2006). The current increase in available data is useless without an effective way to access and synthesize vast amounts of information and knowledge. To get a handle on the tie-in of data to past system approaches, reference can be made to recent developments.

Discussion

Before presenting the four essential elements that underlie a BIS environment, it should be noted that proper planning and preparation are necessary before a business intelligence system can become fully operational. Although there is the need to create and populate a data mart(s), a data warehouse(s), and an operational data system of aged and real-time data, typically the data is of uncertain quality and is derived from resources not architected with business intelligence as a priority. The traditional data ...