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Data mining for business analytics
Data mining for business analytics




data mining for business analytics

This paper will study the benefits of implementing data mining and business intelligence in the business sector.īusiness intelligent is a modern approach to analyze the raw data by transforming them into the information to have a making decision it include different methodology, process & technologies. Business need to minimize the mistakes in decision making, as such mistakes might be catastrophic (Dam, Le Dinh, & Menvielle, 2019). The businesses today has to make decisions that are very important to their survival, yet to make these decisions correctly, they must have a data to predict, know the market trend, & know their customers, so to do that they must do business intelligence. Data mining will allow the analysis of the un-structured data, so this will open a big source of information for the businesses nowadays, to help them compete and survive in the current highly competitive market.

data mining for business analytics

However, approximately 80% of the data are unstructured data, which were not analyzed in the traditional way (Bavota, 2016). Traditionally the way of analysis used to be by analyzing a structured data, which is an organized number collected to be analyzed to convert them into a useful information. To stay updated, the businesses needs to have data & analyze the data, to know their customers, their needs, study the competitors …. The businesses today must be updated in order to compete in the market. Data Mining, Business Intelligence, Knowledge Discovery of Database Introductionĭata is a major thing in today’s world, the success of the businesses today is very much depending on the information the business has, & the data analyzed by the organizations.






Data mining for business analytics