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Isn't data product just a report? absolutely wrong! There are university questions in this category

2020-11-06 20:12:23 The sail is soft

 

Data product value : To solve business problems .

No matter what kind of products , It's all about solving business problems , Data products are no exception . Data products , A wide variety , Different data products , It has different data function components .

Why different data products ? Data products are reports ?

Data product classification : Face the crowd 、 Use scenarios 、 Using methods to form data products

The data is for different people , People have different demands for data , Some are data retrieval , Some are analysis . Data retrieval needs to use SQL, Analysis needs to use excel, Data appeals of different groups of people , Methods of use constitute data products .

People oriented can be divided into TOB/TOC, It can be divided into paying people / Free people . The use of people can be divided into tools / Consulting category . For large enterprises , Most data products are self built , For small businesses , Most markets buy .

 

The above classification is too abstract , The following is a detailed explanation of the data products in the actual case .

 Data products are reports ? Absolutely wrong ! In this category, there are university questions

 

TO B: External purchases - Operation Oriented

TOB It refers to the management of enterprises , for instance , Today, I want to buy toothpaste on Jingdong , After a fierce operation , I got toothpaste , Place an order , Wait for the express to come .

 

Toothpaste manufacturers want to know their recent business situation ,TOB It refers to the management of store management information , That is, business operators' demand for data .

TOB Characteristics of data , Large amount of data 、 Dispersed 、 Data relations are complex and changeable , Business scenarios determine data relationships . give an example , I'll buy LG Toothpaste for , Let's talk about LG Company operators look at data scenarios , First of all, let's see what kind of business data , Business data can also be called fact data , Atomic data without any processing and processing .

In the face of changing analytical demands , Huge amount of data , Decentralized business data , The old , Operators will import the most detailed business data into excel in , perspective ,vlookup Solve the above analysis problems . As the number of points of analysis increases ,excel The more detailed data you need ,Excel Encountered data source update , Relationship changes , Final excel Collapse .

The above cases refer to the inability to build their own data warehouse data products , use excel Data analysis of business operators .

 Data products are reports ? Absolutely wrong ! In this category, there are university questions

 

Based on this background , Enterprises need to go to the external market to buy data products . At present, Ali's is famous in the industry QuickBI, The sails are soft FineBI,tableau etc. , This kind of data product provides help for users who can't build data system , from ODS To DWD To APP, The user is responsible for the construction of the data warehouse ( The data source below intervenes , Data Association ). The picture below is FineBI Data function components of .

 Data products are reports ? Absolutely wrong ! In this category, there are university questions

 

 Data products are reports ? Absolutely wrong ! In this category, there are university questions

 

Abstract the excel Part of the ability , As long as people understand business , You can start to analyze the data , There's no need to build a data team , To maintain the data

TO B: Enterprises build themselves - Operation Oriented / product

The above example is TOB˙ Examples of purchasing data products at home and abroad . The disadvantage of the product is that it needs to upload the original business data to the other server , Although the platform ensures data security , But the big Internet companies still don't believe . With enough human resources , From a data security perspective , Let's play by yourself .

Internal data products are done around the business , Data needs to change with the business , Keeping up with and ahead of the business is the measure of internal data products . This kind of data product form is mainly based on reports , And different business modules ; Visualization as a supplement , Directional observation data of some indicators ; The content of monitoring is wild , Keep your business healthy at all times .

This kind of data product pit mostly lies in the business caliber , Business foresight , Forward looking data , Determines the stability of the data . Business abstraction capabilities 、 Logical thinking ability , Determine the stability of product form . If you can't , Every day, I will be hanged by business , Fall into the pit of Chashu Gu and big cousin .

Just introduced the enterprise self built data platform for operation or product with my own business , The core logic is to keep pace with the business

TO B: Enterprises build themselves - Facing the development of

In contrast to FineBI Did you find something missing ? Data cleaning , Where is the data processing function ? Of course, we have our own data warehouse , Processing and cleaning are also digested in our own silos .

58 Of slogan,“ The life service platform that everyone trusts ”,6 Thousands of categories on business lines , All your needs can be found in 58 On the platform , Is our own data warehouse directly connected to 58 So many categories ? Obviously not . stay 58 Internal data has a more detailed division of labor .

give an example : Business objectives of the Department ROI>1, Promote as much as possible C The connection between end users and businesses .ROI It's revenue divided by cost . We have media side data exposure 、 Click on 、 cost , We have the cost of business , We have C Information of interest to end users , Some of the data we need are detailed , Some data we need to aggregate , Such a huge amount of data , How to realize such complex data interaction ?

This gives birth to development oriented data tools , Big data processing tools , In order to achieve data asset sharing , Improve data computing performance , Data products created by reducing resource consumption .

Data extraction :

 Data products are reports ? Absolutely wrong ! In this category, there are university questions

 

The above cases are all TOB The product case of the industry , It is divided into TOB Companies buy ,TO Enterprises build themselves , Enterprise self construction can be divided into operation oriented ( Business ), Facing the development of .

These kinds of TOB The technical requirements of data products for practitioners are different . about QuickBI, about excel We need to be very clear about the function of , Is there something excel Can be ported to the platform ( I guess. ), It's not just about learning excel Use , data storage , Data analysis , How data works , There is a skill behind each function , I'm also Xiaobai in this respect , So I won't go into details .

Corresponding TOB Face to face operation , It mainly tests the business ability of the product , Logical thinking ability , Personal feeling is relatively simple . Corresponding TOB Development oriented , Need to understand the development environment , Developed data processing flow , Developed data processing tools , How to use the tool , Including scheduling memory usage and so on . Guess and FineBI get data , Creating datasets is the same practitioner skill .

Okay , Write today TOB . ,TOC It can only be said next time , To be continued .

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