Be a data analyst who understands business

Be a data analyst who understands business

For data analysts, many people should know something, and can literally understand this profession. That's right, it is to analyze the data through various analysis tools, and dig out valuable data from it to support the company's business analysis and business strategies.

A qualified business data analyst is currently the most in-demand data analysis position in the market. The basic requirements of the position: proficiency in analytical tools, analytical methods and project experience, and data analysts with in-depth business capabilities are more favored by leaders.

So, how do you understand business?

In most enterprises, data analysis exists as a supporting department and cannot directly create value; if you want to make your position more meaningful, you need to use data to serve other departments, such as the business department; since you want to serve the business, you must It is necessary to understand the specific content of the business, the process of business implementation, the objects of the business, etc.; these business-related content is the data that our analysts need to face, from which we can obtain valuable things for the business, such as business problem analysis, Business advantages, business direction guidance, etc.

First look at how business data is generated? The data comes along with the business process. The business itself includes the quantity, type, and positioning of products; what channels are used to realize it, such as physical stores, online platforms, and APPs; the target audience, consumer group positioning, user portraits, and basic information; Final results, browsing data, transaction data, etc.

The business process that can be recorded is the data we need to analyze, so analysts need to go deep into the business process, build a good relationship with the business team, and remember to imagine yourself behind closed doors. The operation of the business department will also directly affect the quality and results of your data, so understanding the business is also responsible for your own work.

It should be noted that different departments of the company have different business processes. If you want to understand the business process better, you need to go to each department to understand their actions on the business, the angle of thinking about the problem, and the angle of seeing the data. Front-line salesmen and managers have different needs for data and cannot be generalized.

How to use data to better create value? There is no way to create value with pure data, it needs to be combined with actual business. Then we have to think: What is the data that the business needs? If there is a problem in the business, then we will analyze the cause; if the business does not know what the next step is, then we will analyze the trend; if the business does not know the current situation, then we will analyze and describe the current situation...

As mentioned above, different departments have different business processes and different data requirements. You need to know what kind of data you want. For example, what the front-line business wants is how to do it, how to do it in steps, what to do first and then what to do, which is indicative data; what the leadership wants is the completion of KPIs, business progress, and what means can affect business results. is guiding data.

If you don't understand the business, then you can't understand the report business, what's the use of analysis, and the leader doubts the value of your existence. Only by understanding the business can your data generate value.

What steps do you need to go through from not knowing the business to understanding the business? If you are entering data analysis as a newcomer, then you need to understand the specific business and specific processes in your field. Targeted in-depth research is very important in the early stage. It is also helpful for cultivating one's own research spirit, understanding data collection methods, data quality, how to build data models, how to carry out analysis, etc.

There are some classic analysis theories in every field, which can be applied, but they cannot be completely copied; because the business is constantly changing, from sales, marketing, operations, production and other fields, old theories will be eliminated and new methods will be used. There are endless. Therefore, mastering the method of understanding business analysis is our focus.

After you have been in a specific field for two or three years, you have been exposed to many different types of projects, and you will have an overall understanding of the entire industry. Then you need to analyze and summarize the common gameplay in the industry; or have a comparison in a segmented field. Deep research. These are your accumulation of work experience, you can understand more business models, master more analysis methods and perspectives; you can also draw inferences from one instance to develop new ways to play and create value for the company.

Data analysis is an IT field that is becoming more and more popular as it gets older, but we also warn our students: you must not talk about analysis without business, do not pay attention to actual details and changes, learn to speak with data; know how the data comes from, and then how to use it And learn to think and learn.

Although it only takes about three months for you to learn the major of data analysis, and you also learn systematically through the offline teaching mode, the projects you are exposed to are limited after all, and you can only do more different things in more time after entering the industry. You can become a data analyst who understands business and have higher achievements in a certain field.

One last thing to say

Data analysis is not easy to say, and it is not difficult to say that it is difficult, but if you want to be more professional, you can't just stay on the surface of the analysis or a certain success; you need to have the ability to analyze, understand, and analyze specific issues. Some friends may not fully understand it. If you want to see specific case operations, you can take private lessons and receive free project courses to see how our students learn and master data analysis skills. You can also formulate personalized learning routes and career plans according to your specific circumstances and intentions.

 

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Origin blog.csdn.net/kgccd/article/details/130512030