Some questions about website data analysis (i): The focus is not on data analysis

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Data warehousing and data analysis related to the work has been a while, in fact, many problems have been lingering in the brain, and some even have been plagued for a long time, they are constantly learning and working in the process of looking for various solutions or to continuously optimize and replace the previous solution. These problems from the macro level to the detail level, many problems in fact there is no absolute perfect solution, we can only step by step groping, and constantly looking for better solutions to allow the problem to be better and more efficient to be solved, but everyone has limited knowledge, so no matter how everyone's view of the problem will have limitations; At the same time, because each person's knowledge background and experience differences, on various issues will trigger a variety of ideas, so through brainstorming often can be a bright conclusion.

First say blog, no matter how my blog just want to do some records and summary, just express some personal point of view, I think everyone in the study work will always have accumulated, have their own in the field of some of the harvest, everyone fair to enjoy the same time, everyone learned the mastery is limited, no one is weak, The difference lies in the willingness to share it; in the content of the blog, some people may think that is not suitable for public, after all, some things still have some practical value, but must see is the current Internet development speed too fast, I sent before the article six months later to see it will find their own ideas are not mature, If at this stage may not be fully followed by the above ideas to achieve, update and accumulation of knowledge let us continue to choose better methods, and constantly improve and upgrade their knowledge system, not to mention a lot of things in a business system under application, to another system is not applicable, smart people will not completely copy the original method, It's about finding the right approach, or using the method in a more flexible way, so there's no need to worry about skills being "stolen," because people who imitate only don't know how to use them, and smart people can learn the right way to get there and not stop them from stealing.

In fact, the biggest harvest of blog or through the blog to know a lot of friends, especially in the field of web analytics, quite a few have their own blog, we learn a lot of mutual exchange, some things are complementary and promote each other, these friends are willing to share their ideas, everyone has their own field of expertise and strengths, This instead makes me hear and learn a lot of refreshing things, benefit. So if you have time to write a blog, you'll get a lot more than you think you might lose.

Since I have written a lot in the blog, so here want to change a role, I would like to pass several articles listed before the many problems, I hope you can not hesitate to put forward their own views and solutions. In fact, I would like to see more different views in the blog comments or through the idea of the extension of the article in other directions of valuable applications. In addition, knowing really is a very good platform for knowledge sharing and learning, hidden a lot of Daniel, I will put the collation of every issue to know the above, so that can collect more cattle views, I hope that everyone in the knowledge of the relevant fields of Daniel can actively invite.

This is the first, want to focus on some of the Web site data analysis industry and data analyst related issues.

Q1, why do you choose web Analytics or Internet data analysis in this industry, what do you think is the value of this industry and what are the prospects for development? (know)

My answer: The Internet is a sunshine industry, and the data analysis itself is a very interesting job, many times, it is like a detective from the details of the clues to find the only truth, if you like this feeling of exploration, then you will also like the site data analysis of the industry.

In fact, I previously in the "Site analysis of the application and value" This article introduces the value of the site data analysis (here does not refer to the link, you can search), simply said is "systematically help the site to achieve more efficient operation."

The rapid expansion of Internet data volume, the need for systematic processing and analysis of data in order to quickly find information, transform value, so at present, regardless of the development trend of foreign countries, or domestic demand for this industry are fast growth, the development prospects are more optimistic.

Q2, the website's data analyst, what is the most fulfilling thing you've accomplished and what is the most tangled thing? (know)

My answer: The most fulfilling thing is to use data to realize value, whether it is through the data to troubleshoot problems, or through data analysis and application optimization site products, in fact, is the process of creating value.

The most tangled thing is not all day need to maintain and verify the consistency of data, accuracy, data often have a lot of details of the problem, because these basic is inevitable, no matter in which company, website engaged in what kind of business, technology or data environment, the problem of data is still ubiquitous, and to ensure data quality itself is the most basic work of data analyst, is also the premise and basis for the analysis.

I am most entangled in the need for data and applications, if the data with the demand side in the understanding of the data is not consistent, then many data needs will be repeated changes in the adjustment, there will be a lot of duplication of work or no effort, There are even times when the data analyst has taken the trouble to extract a piece of data that only takes a few seconds to scan the demand side without producing any value, which is the saddest thing for a data analyst. So the data analysis always from the point of view of acquiring the final insight, if the data requirements can not explain the acquisition of data is to try to draw what insight, then this demand is basically not necessary to achieve.

Q3, the website's data analyst, what do you most often do in your daily work, which colleagues you need to communicate with, and what tools do you usually use? (know)

My answer: the day-to-day work of a data analyst is simple-data processing and observation reports-and these two jobs take up most of the day. If you can provide accurate reports on time and timely feedback data anomalies, you are a qualified data analyst.

Data analyst to contact the department will be more, can be any data needs of the Department, operations, products, markets, sales, customer service ... Even the boss at all levels.

Similarly, the tools used by data analysts are simple enough to use SQL, Excel, or PPT in the database for 90% of the time, depending on the situation of each company. So if you hear what a data analyst says he's doing every day. What kind of advanced analysis method or advanced data algorithm, every day in the use of R, SPSS, SAS, then do not rule out the suspicion of X.

Q4, where you've just stepped into the data analysis of your site, or if you've ever been to a company or a website to work as a data analyst, how do you get started with your new job, what do you think you need to know, and where do you want to start learning first? (know)

My answer: "Business => Web site or product => data processing process => indicators and reports", my basic process is this, of course, this is not absolutely the order before and after, can be combined to see.

The focus of data analysis is not on data but on analysis, analysis is about the business, so business is the primary understanding of things, like a person to do things, the first thing to be clear is what to do, and then a website or product, it is to achieve the business of the media, like doing things when the work or method used; The process of data processing includes data acquisition, processing and storage model, which is a record of information, can be seen as a diary, a person to do the whole process of doing things; indicators and reports are to repeat the whole process of a person doing things, grasp the key at the same time without losing critical details, Therefore, we must understand the statistical rules of indicators and the presentation of statements, in order to better highlight the focus, understand the details of the omission, so that the retelling close to the facts.

Obviously, when you know what the person is doing, it's much more efficient to read the information that the person is recording when doing things or to listen to the retelling than you can guess by retelling the content or reading the record information directly.

Do not know now to register also need not need invitation code, if need to ask me to, my gtalk (joeghwu@gmail.com).

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