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Business Intelligence is a specialty in gaining the benefit of information, such as the basic questions such as the different levels of customers, the way businesses are doing and the current path, what clinical trials should be and how much money they need to go out!. With a solid, organizations accept some choices rather than feeling. In fact, when making a "decision" structure, a strong computer system trusts any possibility made. Implementing BI Tools Costs Reduction and Increase: Manufacturers' ring managers should have reliable addresses that will allow them to quantify the consequences of business decision budgets if they have correct information. BI can provide know-how in order to express links between procedures and inventories and downward financial results. BI is good for illustrating productivity and risk profiles, for example, prizes and risks that may present a complex product offer (but probably a win). Manufacturers also perform more efficient scale economy with BI; For example, budget costs, such as unit dollars, inventory shifts and product costs, can also be expected to increase their costs by prior expanding (Dinter, B., & Lorenz, A. (2012)). In simple ways, our business is data accumulation, analysis, report, budget and presentation. The purpose of using business intelligence in our business is to improve the visibility of our organizational and financial situation to better manage our business. For example, SAP says "business instead of analytical "business intelligence", this is the business analytics it is a unique term that includes data warehousing business intelligence, business information management and business performance management, Analytical applications and government, risk. Stock optimization A) Sectors seasonal business cycle outstanding it's often found their stock optimization is difficult. For example, if sales of a specific product are shot during the summer or Christmas, the big challenge is to keep the right amount to maximize profits. To deal with this problem, certain companies Conservation, conservation and food sector in general Profitability has increased by almost 10% using BI techniques based on: Decision Support System (DSS). Warehouse product sales and historical data warehousing: In many cases, the results obtained have been much more efficient and profitable Design of total logistic and productive storage processes (Chen, H., Chiang, R. H., & Storey, V. C. (2012)). References: Dinter, B., & Lorenz, A. (2012). Social business intelligence: a literature review and research agenda. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4).