How to improve the three passive situations in data analysis

Estimated reading time ：8min

Reading suggestions ： This article is about chatting after dinner , Relatively easy , See if it resonates with you .

Solve the pain ： Data analysis becomes more and more boring ？ I feel very passive at work ？ How to improve this situation , This article shares some ideas .

00

preface

In the work , Have you ever encountered the following puzzles ？

confused 1： There are many data embedding problems , Searching is time-consuming and laborious , Buried point logic is not clear , You also need help to query ！

confused 2： Data needs are urged every day , All requirements are high and excellent , Expedited output has been delivered , A look at the business has not read ！

confused 3： Project analysis is the focus , Focus on the target and output data , Business feedback works , Finally one didn't land ！

Share some work experience , Hope to help you avoid these passive situations as much as possible .

01

confused 1： How to solve the puzzle of data embedding ？

【 The appearance of the problem 】

1、 The problem of inaccurate data , Students are often asked to make inquiries , However 80% The problems are caused by the buried points on the ground floor , And the burying point is not the responsibility of several students , The process of query is time-consuming and labor-consuming .

2、 When applying data for analysis , As the burial point is not clear , You need to ask the R & D students often , Efficiency is very low .

To solve the problem , We must first see the nature of the problem , To find a way to deal with .

【 Nature of the problem 】

1、 Since there is no set of monitoring mechanism , The discovery of data problems is often delayed , And every time the problem is checked, it is very urgent , Very passive .

2、 Several students did not participate in the design of the burying point , So that I don't know the logic of embedding point , When there are problems , Just go to the single point of consultation .

【 Solution 】

Ideal situation ： Form a set from the burying point → monitor → A semi-automatic system for repair , Combine the tools with the person in charge .

1、 Participate in the buried point design ： It is a problem that most students will encounter if they are not familiar with it , Whether it's the problem query link , Or deal with the demand , Will be very passive . therefore , Participate in the buried point design , It's very necessary , The design scheme of the buried point , You can stamp the blue part 「 Data burying point 」.

2、 Build a monitoring system ： When the buried point is verified to be correct, it will go online , In order to prevent point problems in subsequent revisions , Monitoring tools need to be configured , Generally, the embedded R & D students lead the configuration 、 Several students help verify .

3、 Systematic problem troubleshooting ： When the monitoring finds that there are large fluctuations in the data , A systematic troubleshooting method is still needed to solve the problem . Here we need to focus on two points ： One is the accumulation of investigation ideas ; The second is the construction of screening tools .

Three points above , It can solve the problem of burying points 80% The problem of , Reduce the workload of several students' buried point query .

02

confused 2： How to solve the data demand puzzle ？

【 The appearance of the problem 】

1、 The demand business side is very urgent , In the proposed demand , Nine times out of ten, it's P0 priority .

2、 The demand has been finished with great difficulty , Send it to business students , The business side is not in a hurry to see .

3、 After the business party has read it , It is found that some contents need to be added , So it needs to be reworked .

4、 Often deal with similar requirements , Spend a lot of time on tedious running numbers .

【 Nature of the problem 】

1、 The demand from the business side , The probability is assigned to him by the business leader , So he needs some buffer To sort it out , So I will often urge you .

2、 The demand from the business side , Sometimes he may not think very clearly .

3、 The business side does not have appropriate tools and Kanban , Cause every similar need to be solved by you .

【 Solution 】

Ideal situation ： Establish a set of requirements processing process system horizontally ; Vertically merge requirements and output them in instrumented form .

1、 Develop requirements specifications 「 short-term 」： The requirements specification covers 「 Business requirements specification 」 as well as 「 Requirements processing specification 」 Two directions .

firstly ： Business requirements specification . Specify that the business party outputs the requirements document in a standard template , Content covered ： Demand background 、 The purpose of the demand 、 Expected earnings 、 Demand details, etc . The purpose of this ： On the one hand, it forces the business side to sort out the clear requirements , Reduce the problem of frequent rework of subsequent requirements ; On the other hand, it can also serve the purpose of clarifying responsibilities .

second ： Requirements processing specification . Implement demand scheduling , For really urgent needs , Can jump the queue ; besides , Schedule new demands at a uniform time every week , And will demand deadline To the business party . If the Department has a weekly requirements review , So much the better , At the meeting, the business side will explain the requirements , And then by all parties leader Judging priorities . Above way , It can avoid the situation that several students deal with the demand passively .

2、 Reach a tacit understanding with the business 「 short-term 」： The business side needs to run in , Including but not limited to ： Way of communication 、 How to raise demand 、 Understanding of data, etc . The advantage of doing so is ： firstly , Let the business side think about the problem from the perspective of data , Let your way of thinking be in line ; second , Both parties have a common understanding of priorities , In case of no emergency , There won't be too many business parties push you .

3、 Instrumented support 「 In the medium and long term 」： At the beginning of business development , It's normal to have more demands , Because the product is in the stage of rapid development ; When the business is in a stable stage , There are too many temporary needs , There are more or less problems . It is suggested that the requirements should be classified and summarized , Summarize the commonalities of requirements , Satisfy with tools or kanban . Gradually converge the work content with low technical content , More time to focus on the output of core competencies .

Data requirements are confused , Believe in 80% All the above students have met , If it can be solved , Happiness at work will be greatly improved .

03

confused 3： How to solve the puzzle of project analysis ？

【 The appearance of the problem 】

1、 Project analysis reports often take a long time to do , But the conclusion is often to look at , Can't land .

2、 For some valuable reports , Will be recognized by the business side , But the final result , But it has nothing to do with myself .

【 Nature of the problem 】

1、 The output report is not what the business wants , Can't solve the current problem .

2、 For leaders , Who brings benefits to the business , Who is more valuable . Because the number of products is naturally partial to supporting posts , The merits and demerits are relatively less involved .

【 Solution 】

1、 Project analysis and planning stage ： Don't rush , It is suggested to spend first 1 Days or so , Understand the analysis background and objectives + Sort out the preliminary analysis framework , Communicate the expected conclusion direction with the business , After reaching a consensus , Then start the detailed analysis .

2、 Project analysis and processing stage ： The reason why project analysis takes a lot of time , Mainly because the analysis direction is difficult to get right at one time , It is possible to adjust the analysis angle frequently in the analysis process . therefore , It takes a few points to quickly get rid of wrong ideas 、 The ability to explore new directions . It's easy to say , But you need to have a variety of analytical ideas , And a variety of skills （ for example ： Application of algorithm ）.

3、 Project analysis and reporting stage ： If it is a more important project , After the analysis , It is suggested that when reporting , Pull up business leader And most of them leader. Let the leaders of the Department see what you are doing , If you output valuable content , It is helpful for your personal development .

4、 Project analysis sedimentation stage ： After the analysis phase is completed , Get into the habit of double checking , Where did you take a detour , Avoid as much as possible in future analysis .

5、 Daily charging stage ： Master more analytical ideas , It can make your analysis framework fuller , At the same time, it is also the core competence of the digital advanced .

Project analysis is the work content that can make several students grow , Take advantage of every opportunity . Even if it doesn't land , As long as your thinking can be improved , It's valuable .

04

Add some material to the students who have scored ！！！

Because data analysis naturally belongs to the supporting position （ Except strategy analysis ）, We often encounter various passive situations , It will also make many students lose interest in this , Become salted fish , Here are some suggestions ：

1、 Clear positioning ： The lower limit of data analysis is very low , A position with a high ceiling , Not just two lines SQL、 Make two Excel Such an easy job , Otherwise there would be no such title as data scientist . Clear positioning , Take a positive attitude , Give more comments , Guide business iterations .

2、 Increase interest ： When you have been in an industry for a period of time , We often encounter a bottleneck period , Similar work content , Make you not interested in your work . I suggest that you , Can be at work 、 Add some challenging things in your spare time , for example ： If you can't calculate , You can learn in your spare time , And output business oriented content in the work , This sense of achievement , It's very comfortable .

The above is the content sharing of this issue .