A data product is a product type, which is a product that exchanges value with users through structured data. The core difference job function email list between data products and other types of products is that they solve problems job function email list through data. Data can also solve problems, which is counter-intuitive. Let’s take an example: Data Kanban. In addition to delivering product functions by version, the daily work of product managers also considers how to improve the key data behind the product. How can product managers find out that there is a problem with key product data?
Solve this problem with dashboards. Data job function email list Kanban displays product data dynamically in real time by adding product data indicators, time, pages and other dimensions to assist product managers in evaluating the pros and cons of data after the new version goes online. In addition to data kanban, we often hear that big data analysis job function email list and data center are all data products. For an event, it is far from enough to know the truth, but also to know the essence of the data product.
The essence of data products is structured data thinking, also called measurement. 2. The essence of data products What is structured data job function email list thinking? To understand what structured data thinking is, we must first understand what structured job function email list data is. Structured data refers to data that logically describes individual information through a two-dimensional table structure. We have all used Excel to describe information, such as when we register employee information, we will list, name, gender, age, etc. in the table, and fill in the employee's information below the fields.