Data Correlation Analysis: A Key Decision-Making Tool

4. The correlation analysis of data is crucial and serves as an important basis for decision-making.

A) Any strategy requires as much data analysis as possible for correlation.

B) Q1-Q2 primarily focuses on designing products based on customer demands, with the core objective of ensuring that the products meet customer requirements. Each of our products scores between 74 and 76.

C) Starting from Q3, data analysis shifts to the Marketing and Sales modules. It is necessary to derive product strategies, market strategies, personnel strategies, and production strategies through data analysis. Due to sales experience, the main areas of analysis are: the gap between competitor products and our company's products, regional capacities and sales volumes of various companies, online sales capacities, comparison of sales personnel numbers, comparison of advertising content and quantities, and comparison of sales volumes and prices of various products. It is also necessary to analyze and compare competitor product advertisements over several quarters, predict the key customers and product directions of the competitors, identify the main competitors to target, and determine how to counter them.

D) In summary, the process starts with customer demand analysis, followed by market capacity analysis and competitor analysis. Finally, market and competitor forecasts are made to derive strategies for all departments within the company.