BUSINESS PLANNING AND ACTIVITY FORECASTING IN ORGANIZATIONS: CURRENT TRENDS AND FUTURE PERSPECTIVES

Umarxon Ixtiyorxonov

Authors

Ixtiyorxonov Umarxon Asrorxon o’g’li

Keywords:

Modern organizations, economic environment, business planning, forecasting, trends, innovative approaches, big data analysis, predictive analytics, artificial intelligence, machine learning, advantages, limitations, challenges, flexibility, adaptability, perspectives, development of methods, forecasting accuracy, integration of methods, technologies.

Abstract

Modern organizations face a constantly changing economic environment, which requires effective business planning and forecasting for successful survival and growth. This article explores current trends in the field of business planning and forecasting, as well as offers perspectives on the future development of this area. Within the framework of current trends, innovative approaches are considered, including big data analysis, predictive analytics-based forecasting, and the application of artificial intelligence and machine learning. The advantages and limitations of each of these methods are discussed in the context of the modern business environment. The main focus is on the challenges faced by modern organizations in business planning and forecasting, including the complexity of the environment, the increase in volume and complexity of data, the need for quick response to market changes, as well as the flexibility and adaptability of strategies and action plans. In conclusion, the article offers perspectives on the future development of business planning and forecasting methods, including the development of innovative approaches, improvement of forecasting accuracy and reliability, integration of traditional and innovative methods, as well as the role of technologies in the future development of this field.

References

Pal Singh Toor T., Dhir T. Benefits of integrated business planning, forecasting, and process management //Business Strategy Series. – 2011. – Т. 12. – №. 6. – С. 275-288.

Sutanto E. M. Forecasting: The key to successful human resource management //Jurnal Manajemen dan Kewirausahaan. – 2000. – Т. 2. – №. 1. – С. 1-8.

Kabeyi M. Organizational strategic planning, implementation and evaluation with analysis of challenges and benefits //International Journal of Applied Research and Studies. – 2019. – Т. 5. – №. 6. – С. 27-32.

Brownlie D. T. The role of technology forecasting and planning: formulating business strategy //Industrial Management & Data Systems. – 1992. – Т. 92. – №. 2. – С. 3-16.

Riekkinen T. Integration of Planning Processes: Linking Business Planning and Sales Forecasting in a Case Company. – 2022.

Fairholm M. R. Leadership and Organizational Strategy //Innovation Journal. – 2009. – Т. 14. – №. 1.

Raspin P., Terjesen S. Strategy making: what have we learned about forecasting the future? //Business Strategy Series. – 2007. – Т. 8. – №. 2. – С. 116- 121.

Abraham S. C. (ed.). Strategic planning: A practical guide for competitive success. – Emerald Group Publishing, 2012.

Apsilyam N. M., Shamsudinova L. R., Yakhshiboyev R. E. THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE ECONOMIC SECTOR //CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS). – 2024. – Т. 3. – №. 1. – С. 1-12.

Карлибаева Р. Х., Апсилям Н. М., Яхшибоев Р. Э. ЭКОНОМИЧЕСКИЙ ПОТЕНЦИАЛ И ПЕРСПЕКТИВЫ ИСПОЛЬЗОВАНИЯ ТЕХНОЛОГИЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В СОВРЕМЕННЫХ КОРПОРАТИВНЫХ СТРАТЕГИЯХ //Innovations in Science and Technologies. – 2024. – Т. 1. – №. 1. – С. 121-135.

Кудратиллаев М., Яхшибоев Р. ЭКОНОМИЧЕСКАЯ МОДУЛЯЦИЯ ЭКОЛОГИЧЕСКОЙ ОБСТАНОВКИВ РЕГИОНАХ //Innovations in Science and Technologies. – 2024. – Т. 1. – №. 2. – С. 99-102.

Яхшибоев Р. Э. ЭКОЛОГО-ЦИФРОВАЯ ЭФФЕКТИВНОСТЬ НОВЫХМЕДТЕХНОЛОГИЙ: ДИАГНОСТИКА ЖКТ //Innovations in Science and Technologies. – 2024. – Т. 1. – №. 2. – С. 108-113.

Яхшибоев Р. Э., Атаджанов Ш. Ш. ВЛИЯНИЕ ЦИФРОВЫХ ТЕХНОЛОГИЙ НА РАЗВИТИЕ МАЛОГО ИСРЕДНЕГО БИЗНЕСА В УСЛОВИЯХ ЦИФРОВОЙ ЭКОНОМИКИ //Innovations in Science and Technologies. – 2024. – Т. 1. – №. 1. – С. 1-10.