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Data product manager thing 2

2022-08-10 13:34:00 【InfoQ】


Use lunch time to organize:

1.  A good PRD for data products is more difficult than a prototype, because a prototype can be a simple graph data display,Prototypes of data products are very easy to draw and meet basic user needs.
A good prototype is not just a few data graphs to solve the problem, but to consider how the different data meanings of the data on this graph should be understood and used by users and under what data conditionsHow to use, how to alert the mechanism, and follow-up actions, these are the added value of data products.However, the product thinking level designed by the vast majority of data product managers only meets the basic needs, which is a 50 points.

2. The growth of data product managers depends on the surrounding environment in addition to their own efforts. Because the data product manager is across two large domain models, namely the big data domain and the product manager.

The subdivision is four sub-fields: the field of scoring and mining, the field of big data content implementation and construction, the field of tool platform knowledge, and the field of products. With the development of big data, AI andKnowledge of artificial intelligence, machine learning, algorithms and other related fields. 
For example: the combination of big data content implementation and construction, tool platform knowledge is BI architect &data architect knowledge, in the Paleozoic is BI  solutions and mining areSpecialized service personnel, in modern times, is the generalization of data value, and the service is wider.

In the past, the threshold for building a more complex and professional Dashbroad was relatively high , now there is a mature and easier-to-use tool platform that makes it easy to build. With the maturity of informatization and various tool platforms, the threshold for building big data becomes very low, and the interpretation, analysis and value thinking of data will become more and more important. In the future, the left hand will be used for data analysis, and the right hand will be used for dataThe product's data product manager is more valuable.


3. In addition to daily management, the leader of a data product team is more important for professional management.Data products are hard to find, and experienced data product managers are even harder to find.The emergence of data products is not born from the business, and it is not derived from certain user needs like business products.
If the construction of data products is only derived from the needs of users, the value is far from enough, and more needs to be done in terms of data value, mining, and research.Simply speaking, a report delivered to the user meets the user's needs or exceeds the user's needs, and the thinking points and thinking paths are different. 

4. Zhou Hongyi concluded: First, Internet products must have a soul, conform to the rules of the game in related fields, and be able to impress users.Second, Internet products need to be continuously operated and polished. Good products are operated, not developed.The third characteristic is that "it is better to cut off one finger than to hurt ten fingers."In the product direction, we must first learn to do subtraction, not addition.Find the right point first.

I have a deep understanding of this. A good data product only accounts for 40% of the design of a data product manager, and the rest is more of a hard work.The first data product I made was iterated by later generations for 9 years in its life cycle.I have spent more than half a year in the operation of this data product. 


ps: This time the picture is from the Wuba Glacier on the border of Tibet. The 58 Glacier is also known as the Qudeng Nyima Glacier, because it is located at the junction of China and India.On the boundary monument No. 58, it is called the 58 glacier.This glacier is located in Gamba County, Shigatse region of Tibet.
The glacier is located at an altitude of 5,300 meters above sea level. There is no direct road to get here. You need to park your car and walk on a dirt road despite the possibility of altitude sickness to reach the lake at the foot of the glacier.beside.It is about 2 kilometers from the parking point to the foot of the glacier around the lake. There is only one person in this glacier canyon. The sound of the ice lake melting and echoing in the valley is a bit scary. 


About the author: Songzi (Li Boyuan), an old driver in the field of BI& data products, who has drifted through several big factories.Personal public account: Songzi Chat Data
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