With the emergence and development of economical phenomena such as globalization; enterprises today evolve in very competitive and complex environments. Consequently, strategic decision making is more and more complex and the interventions must be made rapidly. Enterprises must better target their clientele and more than ever meet their requirements. To better face these new economical challenges, companies must increase their level of anticipation. Best practices will imply
the use of a decision-making system that provides organized and well-targeted information. Information is one of the key elements in the performance of a company. In that capacity, the company becomes aware of its extraordinary potential and realizes that its volume, which continuously increases, is a real factor of success in a difficult and competitive environment. A decision support system must offer solutions that are at the forefront of progress as well as support the strategic process of a company. This type of system groups precise data with commercial activities history such as sales, revenue, expenses, marketing, client information; in short, anything that can help provide a complete and precise picture of the company at a given time.
Thus, by enriching the company's data with an "intelligence" process, it becomes simpler to understand and to grasp, as well as easier to compare. The relevant information is transformed into a mass of knowledge, which is the know-how of the company, and simply needs to be analyzed for a better decision process. This intelligent data structure provides a homogenous and systemic environment of the existing data, dispersed throughout various operational systems within the enterprise. The goal of this integrated vision of existing data enables us to help all the units in taking the best decisions and better plan their evolution.
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