When doing data analysis in the past, an analysis method was often used: matrix analysis , which is a method of performing correlation analysis and finding problems based on two important attributes of things as the basis for analysis. More often, it is used to analyze products, using the two dimensions of sales volume and profit margin as the consumer email list horizontal and vertical axes, and dividing it into four categories, which helps to see the range of different products at a glance faster and more accurately, Help us make better decisions and strategies. Data analysis thinking 2: Without classification, there is no positioning The above two-dimensional matrix is mainly used to analyze products. Next, let’s take a look at the three-dimensional matrix classification,
Which is mainly used to analyze customers, and is more suitable for C-side and higher-frequency business. RFM analysis: It is a method of segmenting customer value based on customer activity and transaction amount contribution. Data analysis thinking 2: Without classification, there is no positioning From the three dimensions of proximity, frequency, and consumer email list amount , users are divided into eight categories, users are subdivided, and different coping strategies are adopted for different categories of users. Data analysis thinking 2: Without classification, there is no positioning Next, analyze the analysis method with coarser granularity than the above two: the Boston matrix. It is also a two-dimensional quadrant, but it looks at a relatively higher dimension of the problem.
Management consulting companies like to use this method very much, and it is more of a business-level analysis. Data analysis thinking 2: Without classification, there is no positioning Learn to use it to decompose business, not only to clarify the relationship between business and cash flow, but also to analyze business portfolio, think about strategic issues, and seek the best development trend. The following picture is also a two-dimensional matrix quadrant coordinate chart with a higher dimension. It is used to analyze the business characteristics and attributes of companies in different industries. From the frequency of use and the scope of functions, this is more like business analysis.