Behind the Amazon Prime Day hits, here are 3 tricks of the operators!

After the National Day holiday, I secretly took an interview. The interviewer asked a question:

I didn’t expect it to be so simple. It just tests my data analysis ability!

But when I looked up and met the interviewer's eyes, I knew I was in trouble.

Is there anything wrong with my answer? What is the standard answer?

On the way back, I sent a message to an e-commerce operations boss for advice on the same question. When I saw his answer, I was amazed.

The boss’s solution is this: conduct user surveys to describe user portraits, find accurate users, and build an indicator system based on business goals and user characteristics .

Data collection: We surveyed users , cross-analyzed the characteristics of our users based on the two indicators of "user age " and "user city" , and used heat maps to display the data in an intuitive and clear manner.

（User portrait）

Based on the heat map, we can easily identify two main types of users: 25-35 years old in second- and third-tier cities; and 25-30 years old in first-tier cities.

The data has been collected and the user portraits have been formed. Solving business problems is the focus of operations data analysis.

Indicator construction: What are the target indicators for improving service experience ? What are the evaluation dimensions ? What kind of indicators are reasonable to measure ? These need to be specific and have visible data , so the top priority is to build an operational indicator model.

Every link must be subdivided layer by layer, which really tests the data analysis ability!

He said : " Data analysis ability is an essential skill for operations and is also the core competitiveness for advancing to advanced operations. One question tests your three abilities of data collection, data analysis, and data indicator construction at the same time . Your answer proves that you have data analysis ability, but it only stays at the level of primary operations. "

Data capabilities of advanced operations

Through in-depth communication with the big guys, we summarized the data capabilities corresponding to primary operations and advanced operations, and you can find your seat~

In a fit of anger, I wanted to change my job, so I looked at the popular positions on major recruitment websites. As a result, I found that all the operations positions I could change to required data analysis capabilities !

No matter what position you are in, it is urgent to improve your data analysis capabilities.

As early as 2015, Lei Jun said that the key point for the entire industry in the future is to explore the value of data.

In the digital age, if you understand data and work in operations, you will gain high salary, voice, irreplaceability and a sense of achievement . If your data analysis ability is still stagnant, it is like everyone else is using smartphones, but you are still using a mobile phone. Aren’t you just a primitive person?

If you don’t want to be on the edge of being optimized, if you don’t want to reach a bottleneck before you can fully utilize your strengths, if you don’t want to stop in your comfort zone, learn data analysis as early as possible.

How to improve data analysis capabilities?

In order to make up for the lack of knowledge, I went to the website to read no less than ten articles and watched some videos of data analysis courses. After watching them, I can only say two words: terrible!

When I was confused, the boss sent me a link to a live data analysis course - "3 days and 3 practical exercises to quickly improve data application and analysis capabilities."

I studied with the teacher for three days, one and a half hours a day, and here is my experience:

First of all, I strongly recommend this teacher. Listening to his class is like listening to crosstalk, which is very interesting . Secondly, the teacher uses three currently popular business scenarios to teach us data analysis. It is very practical . The e-commerce case on the first day gave me a lot of gains . There are also corresponding exercises after the course, so you can learn and apply it directly.

If you want to learn real things and improve your data analysis skills , you have to find the right place.

Today I would like to recommend to you the live course "3 Days, 3 Practical Quick Start in Data Application and Analysis" specially created for operators by "Kai Ke Ba".

The course is taught by special lecturers from Baidu Technology Academy. You can quickly improve your data capabilities in just 3 free hours after work. You can say goodbye to the embarrassment of being stumped in interviews and the embarrassing situation of not having a say in meetings. It will help you grasp the pulse of the times and avoid the risk of being optimized out.