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Models for Predicting Business Financial Performance
Vakhrushev, Dmitrii ; Oulehla, Jiří (referee) ; Luňáček, Jiří (advisor)
The thesis focuses on models for predicting the financial performance of the ALZA company, where it focused on emphasizing the strong financial performance and stability of the company. Key factors contributing to ALZA's success will be mentioned, such as consistent revenues, profits, effective cost management and investment in innovation. In addition, the work would also focus on potential strategies for further growth, such as exploring new markets, strengthening online sales, diversifying product offerings, and strengthening relationships with customers and suppliers. Emphasizing the importance of continuous innovation, market monitoring and strategic investment will demonstrate ALZA's readiness for future success and market expansion.Using financial data for the period 2017 to 2022, market trends and industry benchmarks, accurate predictions can be made regarding ALZA's future financial results. Implementing advanced modelling techniques and incorporating different scenarios can provide valuable insights for strategic decision-making.
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