Abstract. Nowadays, business intelligence (BI) has the top-most priority for the contemporary enterprises. The aim of this paper is to emphasize the advantages of this computer based approach in improving business processes. Data analytics and modeling of sales prediction system for enterprise is realized with artificial neural networks (ANNs). For the purpose of this research are created over 100 artificial neural networks. Three types of artificial neural networks are designed and evaluated: Function fitting neural networks, Focused Time-delay neural networks and NARX (Non-linear autoregressive) neural networks. Also were performed simulations with different architectures that differ to the number of delays and the number of neurons in the hidden layer. The network prediction performance was evaluated with Average Percentage Error (APE) and Root Mean Square Error (RMSE). The obtained results show big accuracy in prediction of the product sale. The precise prediction has influence to optimization of most of the business processes such as: supply of raw materials, organization of production process, staff scheduling, plan the electricity demand, cost reduction etc.
Lately, a lot of care and attention people pay to their health. But, despite of that effort, Genetically Modified Organisms (GMO), become reality in modern society. Genetically modified organisms -represent organisms in which the genetic material has been altered in a way that is not realized through natural breeding or natural recombining, but genetic material changes in the laboratory, laboratory techniques and methods. The possibility to amend the forms of life has revolutionized the application of modern biotechnology, with genetic engineering and cloning. Knowing the technology of genetic modification is extremely important not only for scientists but also for producers, consumers and the population that already faces with major products whose integral part is GMO. The application of this technology is relatively new and not spent enough time to consider the possible harmful effects of the application. The issue of GMO becomes already a key theme of social discourse. On one side are those who say the arguments "for", often justifying the use of these products to reduce hunger in the world, as well as incentive profits obtained by the low price and low deposits, while on the other side, are those who warn of the possible negative consequences for human health and for the environment from the use of GM food. For this purpose, we make a survey in several hotels in Ohrid, in order to see their viewpoint under the pressure and warnings of the media about the importance of preserving human health and the use of GM food.
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