Open AccessExtraction of Information in the Context of Business Inteligence
Author(s) -
Branko Latinović
Publication year - 2011
Publication title -
journal of information technology and applications
Language(s) - English
Resource type - Journals
eISSN - 2233-0194
pISSN - 2232-9625
DOI - 10.7251/jit1101054l
Subject(s) - business intelligence , data warehouse , computer science , online analytical processing , context (archaeology) , information extraction , business rule , conjunction (astronomy) , data science , semantics of business vocabulary and business rules , knowledge management , data mining , business process , information retrieval , engineering , work in process , paleontology , physics , astronomy , biology , operations management
business Intelligence in the developed business systems allows better reasoning and decision making. ETL processes represent the most important processes in the system of Business Intelligence. It is about extracting, transforming, and filling a Data Warehouse with data which then transforms into data that is by its nature new and presented in a way that is meaningful and useful in an actual business organization. In conjunction with the methods of Information Extraction, knowledge is significantly expanded and given a completely new image. Intention is the collection of data that is available and processing the same in one place, regardless of whether the data was in a structural form or any other.