The basic tasks of business analysis are to present business results and monitor business processes. Therefore, the most basic business analysis is really to move out the income and cost report, which usually consists of three parts: Operating results: revenue, cost, profit figures Business goals: progress of annual goals, gaps Operational risk: receivables, inventory, cash flow Most of this data can be extracted from financial statements, so it feels like it's moving around. At the same time, these data seem complex, but very weak. Because they are all outcome indicators, they cannot explain the source of the problem. For example, there is more inventory, more receivables, so less cash... These are just appearances. To explain further, consider: Why is there more inventory? Is the production plan unreasonable, or is there a problem with sales? Sales encountered problems, is the problem of price, quality, customer demand, sales...? Is the problem temporary, or long-term? Do short/long term plans need to be adjusted? None of these can be answered in primary analysis.
Therefore, only relying on the result data can only answer: "revenue should be high" and "cost should be low". This is also the number one reason why business analysis is criticized. The business analysis done by some financial departments has this effect. In the final analysis, it is because they do not understand the business process and can only see the numbers. 2. Primary business analysis If you want to analyze more deeply, you first need mobile number list more data. And I want to explain: how does the revenue come from and how does the cost come. The source of income and cost structure need to be dissected. To decompose the source of income, you need to grasp: the business logic of generating income. This is usually described by the people-goods-yard model. Each business model has a main revenue logic. for example: Retail revenue depends on stores. Income = Number of stores * Average output per store Game revenue comes from users. Revenue = Number of Active Users * Payment Rate * Payment Amount Manufacturing income comes from commodities.
Revenue = Downstream Demand of Commodities * Win Rate Understanding the income logic can explain how the income comes from. Of course, if we have a lot of process data, we can further disassemble the revenue model and understand the source of revenue in more detail. The dismantling method of each industry is different, and it needs to be carried out according to its own business characteristics (as shown in the figure below). The cost depends on the cost structure. For example, the manufacturing production line is very large and the cost is very heavy, usually including: raw material cost, warehousing cost, logistics cost, R&D design cost, production cost, plant water and electricity and a series of costs. The consumer goods industry is relatively inexpensive, and its products can be directly outsourced to manufacturing plants. Responsible for brand building and marketing. width= Note that the cost part not only depends on the structure, but also on the benchmark volume, which is convenient for cost control. For example, in the production process of the manufacturing industry, according to product design/material requirements, the technical department can set standard production costs, and standardize the standard materials and standard labor for each product, so that through comparison, you can find out which link has a problem.