DESIGN AND IMPLEMENTATION OF COMUPTERIZED BUSINESS FORECASTING SYSTEM USING REGRESSION ANALYSIS
Department: COMPUTER SCIENCE | Pages: 65 | Price: ₦5,000.00
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Abstract
Accurate business forecasting is critical for organizations to make informed decisions, plan resources, and maintain competitiveness in a dynamic market. Traditional forecasting methods, often based on manual calculations and intuition, can be time-consuming, error-prone, and unreliable, especially when dealing with large volumes of historical business data.
This study focuses on the design and development of a computerized business forecasting system that uses regression analysis to predict future trends and performance. The system collects historical business data such as sales, revenue, and market variables, and applies statistical regression techniques to identify patterns and generate predictive models. By automating data analysis, the system provides accurate forecasts, supports strategic planning, and reduces the reliance on manual calculations.
The system is designed with a user-friendly interface that allows business managers to input data, analyze trends, and generate graphical reports that visualize predicted outcomes. It also enables organizations to monitor key performance indicators and make data-driven decisions effectively.
Overall, the computerized business forecasting system using regression analysis offers a practical and efficient solution for businesses seeking to anticipate market changes, optimize operations, and plan for growth. By providing reliable predictions, it enhances decision-making, reduces risk, and contributes to the long-term success of modern organizations.
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