Let's first define the concept of to b data products, which are oriented to b-end merchants, and use data display and analysis results to assist users in making decisions through data fields, charts, data analysis and other means. When designing to b Jordan Phone Number data products, it is easy to fall into a misunderstanding, focusing too much on "data products" and pursuing analysis results too much, which leads to excessive use of data analysis methods, resulting in designed functions that are not accepted or used by users. This results in a waste Jordan Phone Number of resources. Common manifestations include: The analysis field is divorced from the actual business; overspecialization; Heavy use of data visualization. 1. The analysis field is out of the actual business When we design to b data products.
We will want to display more data fields and define more data fields, and hope to restore the whole data picture of the entire business as much as possible and analyze the business data as much as possible. Define "fields or charts with little or no relevance to the actual business". And these fields and charts are meaningless to merchants who buy our Jordan Phone Number products and waste development resources. For example the following case: Case: If we want to design a data product for the potential user group that is the new retail of automobile 4S stores, when designing the "Store Sales" menu, in the fields "Number of Sales", "Sales Amount", "Number of Sales", " On Jordan Phone Number the basis of "customer unit price", I want to add the "customer unit" field, what is the definition of "customer unit"? A single customer = number of sales / number of sales , that is, the number of pieces purchased by a single customer at one time.
We can also understand it as the number of transactions in an average single order. From the perspective of data analysis, customer order can help the platform to understand the buyer's ability to purchase the average number of pieces. However, considering Jordan Phone Number the actual scenario, affected by the attributes of the car product, the probability of buyers purchasing a second car on the same platform in a short period of time is extremely small. Then it is basically meaningless for the platform to understand the "customer unit" field. This field does not have the value Jordan Phone Number of marketing analysis, and cannot provide the store with the possibility to change its business strategy, which is not helpful for the store's operation and sales. But what if the potential user group of our product is an e-commerce platform for clothing? When people buy clothing, they often have the psychology and desire to match the purchase.
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