BUSINESS INTELLIGENCE

Business Intelligence

Business Intelligence

Introduction

The term Business Intelligence abbreviated BI, became popular from the early to mid 1990s, and refers to procedures and processes for systematic analysis (collection, analysis and presentation) of data in electronic form. The aim is to gain insights into the ways in which corporate objectives enable better operational or strategic decisions. This is done with the aid of analytical concepts and IT systems, evaluate the information about the company, competitors and market developments with regard to the desired insight. With the knowledge gained, companies' business operations and customer and supplier relationships more profitable, reduce costs, mitigate risk and increase the value. The term is the field of computer science industry attributed.

The data mining (data mining) is the set of techniques and technologies to explore large databases, or semi-automatically, with the aim of finding repeating patterns, trends or rules that explain the behavior of a given data context. Basically, the data mining appears to try to help understand the content of a data repository. To this end, it uses statistical practices and in some cases, next to search algorithms and artificial intelligence neural networks. In general, the data is the raw material. At the time that the user attaches a special meaning to them go on to become information. When specialists develop or find a model, making the interpretation that arises between information and the model represents an added value, and then we refer to knowledge. See differences between data, information and knowledge.

Discussion

In October 1958 the article A Business Intelligence System was published by Hans Peter Luhn in an IBM journal, with a high probability of the birth of the term business intelligence. Made from 1989 to Howard Dresner, one analyst of Gartner Group, the concept of self. He later created the concept of advanced business performance management. However, the English term intelligence (from Latin for understand casual Intel from the Latin inter between and casual read select) refers to the lessons learned from the gathering and processing information acquired knowledge. The term business intelligence refers to the use of data in an enterprise to facilitate decision-making. It encompasses understanding the current performance of the company, or the anticipation of future events, with the aim of providing knowledge to support business decisions.

Intelligence tools are based on the use of an information system intelligence that forms with different data from production data, with information about the company or its domains and with economic data. Moreover, using the tools and techniques ELT (extract, load and transform), and current ETL (extract, transform and load) to extract data from different sources, purified and prepared (data homogenization) and then loaded into a data warehouse. However, life or the period of a successful business intelligence software depends upon the level of success which makes the company the benefit of using it, if this company is able to increase your financial, administrative and improve the action decisions company, business intelligence will be used this for long, otherwise it will be replaced by another to provide better ...