| Abstract [eng] |
Nowadays most of the companies have problems with sales information optimization due to large amount of sales‘ data. For this reason information technologies companies are always creating new applications of Business Intelligence or trying to renew the older one. Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing and providing access to data which help enterprise users to make better business decisions. BI applications contain the quering, reporting, online analytical processing (OLAP), statistical analysis and forecasting. ALSO company has the same problem with sales information optimization. First of all, they are using primitive tools to get sales data from their database, what means that they are not able to use their server optimaly and it takes a lot of time to get data from it. Also they are not using sales forecasting methods and for this reason their forecasts are not accurate. So applying Business Intelligence Technologies and forecasting methods are the best solutions to solve these problems. The goal of this investigation is to reach shorter time of getting sales' reports and to get more precise sales’ forecasts by applying Business Intelligence Technologies and forecasting methods. |
