Editor's introduction: The business email list ability to transfer is a very popular ability in the workplace, and it can be easily solved when encountering similar situations in different industries. Then, as a data product manager, it is the same. For some complex problems or scenarios, if you master some of the underlying capabilities, you can also solve them with ease. Let us see how to exercise these four underlying capabilities.
Hello everyone, do you remember " series some time ago? In that series, we mentioned many decision-making scenarios of BI products, using new technical means to solve some more complex and deeper scenarios.
In the process of conceiving the last article of this series (please look forward to it), a question popped into my mind repeatedly. If I have no practical experience with the problem to be solved, or the final result of the solution we have launched is not satisfactory, as a data product What should the manager do?
Transform this question. If you want to solve those complex problems or scenarios, what underlying capabilities should a data product manager have?
First, what is the underlying ability
To explain what the underlying capabilities are, let's first talk about the difference between knowledge and capabilities, professional capabilities and underlying capabilities. Knowledge can be acquired through learning, and ability can be acquired through practice.
Take, for example, the various different types of data product managers. Examples of expertise that can be gained through study:
Data warehouse product manager, you need to understand the basic knowledge of data warehouse, know the data warehouse layering and dimensional modeling methods;
BI application product manager, you need to understand the basic knowledge of data indicators, behind the data indicators represent the business content;
Data platform product managers must understand the technical architecture of the big data platform and the basic principles of various technical components;
Data governance product managers must know the connotation of the data governance system and the differences between the theories of various systems;
There are also some general domain knowledge, such as you will use Hive SQL and python;