The eastern Ukrainian city of Mariupol is among the most polluted cities in the Ukraine. Even with a decrease in manufacturing after the dissolution of the USSR, the high amounts of hazardous wastes in the water, air and soil have not been reduced, often exceeding the safety limits used by the World Health Organisation (WHO). City dwellers continue to have worryingly short lifespans, as well as a high percentage of oncological diseases. The current extent of the problems seen in the city is described in this paper, along with a programme aimed at the sustainable development of the city. Public discussions of Mariupol’s environmental problems are documented in this paper and took place via workshops, newspaper articles, television programmes and surveys. As a result of these investigations, increasing life expectancy by ten years was chosen as the primary goal for city development. A summary of the project is presented, along with some analysis and recommendations.
This article discusses the use of analysis and forecasting methods for sales funnels to help further decision-making. A number of objective and subjective factors preventing the wide use of various sales funnel forecasting methods are described. It has been substantiated that due to a large number of external and internal factors, perfect forecasting results cannot be obtained. It has been proved that the most accurate and suitable methods for the forecasting of sales funnels are the methods included in the group of time series forecasting methods. Recommendations have been developed to improve some of the methods that significantly increase the accuracy of the forecasted data. Using the data received from different organizations, it was possible to empirically verify the accuracy of the forecast values. The obtained results of analysis and forecasting were used for testing the methods of searching the optimal scenarios of achieving the forecast indicators.
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