write an article on Exam Decision Support System and Business Intelligence. It needs to be at least 1250 words.

Hello, I am looking for someone to write an article on Exam Decision Support System and Business Intelligence. It needs to be at least 1250 words.

Since data warehouses are presumed to be fully integrated, this helps in decision-making making processes. The time-variant characteristic of data warehouses means they are capable of maintaining historical data. Therefore, data warehouses not only offer the prevailing status but also detect variations in relations when carrying out comparisons and forecasting, which are essential in decision-making. Time is one of the significant dimensions that are supported by all data warehouses, which enables the analysis of data from various sources in their multiple time points.

One significant characteristic of data warehouses is that once data is entered in the system, the data cannot be changed or updated. however, data warehouses discard obsolete data by accepting new data. Essentially, all the above aspects enable data warehouses to be applications that provide decision support capability because it offers ready access to business information capable of creating business insight. Data warehouses as a repository of data provide processes that enable managers to make the necessary decision in business (Turban, Sharda, Delen & King, 2010).

Natural language processing as a component of text mining in artificial intelligence involves the study of problems associated with understanding natural human language with the aim of converting human language to formal representation easier for computer programs to manipulate. The aim of Natural language processing (NLP) is to shift from syntax-driven text manipulation to a true understanding and processing of natural language that values grammatical and semantic restraints within a given context.

A prominent area where benefits of NLP have been witnessed is in customer relation management, which maximizes customer value through understanding better and effective ways of responding to actual needs as well&nbsp.as the perceived needs of customers.&nbsp.

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