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Refers to the use of data in a company to facilitate decision making. It encompasses an understanding of the current operation of the company, and the anticipation of future events, with the aim of offering knowledge to support business decisions.
Intelligence tools are based on the use of information collected by different business management systems, such as ERPs. From these, particular data is taken that must be analyzed and combined with each other, in the different areas and scenarios of the organization.
The life, or the period of success, of a business intelligence software depends solely on the level of success of the company that uses it. If this company is able to increase its financial and administrative level and its decisions improve, the business intelligence used will be present for a long time.
Finally, it is important to note that analytical intelligence tools enable query-based representation modeling to create a comprehensive scorecard that will serve as the basis for reporting. Using the ELT tools (extract, load and transform), or currently ETL (extract, transform and load) the data is extracted from different sources, they are purified and prepared (homogenization of the data) and then loaded into a data warehouse. .
Accessibility to information because data is the main source of this concept. The first thing that this type of tools and techniques must guarantee is the access of the users to the data, regardless of the origin of the data, it is also considered a support in decision-making where it seeks to go further in the presentation of the information, so that users have access to analysis tools that allow them to select and manipulate only those data that interest them. In addition to end-user orientation to achieve independence between users' technical knowledge and their ability to use the tools.