Car products feel: do not know to not talk about business datapresent, some people are concerned about the Nike Shoes behavior of the data, and some people are concerned about business data, but fewer people to conduct data and commercial data taken together. Often just simply look at one end of the data. But look at the data deranged people will understand that each of the data, like the stars scattered in the night, full of relationships between each other, as long as gently press one of the data, it will drive change other data . Some time ago to see a data enthusiasts, we both have the same point of view: Air Jordan 19 e-commerce development faster and faster, change in trend in the industry is also growing fast; for e-commerce company boss, you want to find their own path in in front of the trend, bound to learn data-driven. Fortunately, this year, the e-commerce industry has to pay attention to the data analysis, and even from the mom and pop started Taobao sellers also began to solicit data analysts, let alone some of the bigger e-commerce company again. Air Jordan 3 Retro But it also makes me feel worry: now is not the lack of data, but the data is too much! According to statistics, in today's Internet, every 60 seconds will produce 100,000 tweets, 4 million times search, facebook 500,000 times on contact. I believe that today slightly larger e-commerce company, will collect some of the behavioral data, these behavioral data and business data (such as trading volume) What is the relationship? Today the vast majority of companies do not take advantage of these thousands of scattered data. We need data logic, but more sensitive to talk about an interesting business story. One day, Linkedin Lehman Brothers suddenly found visitors more up, but did not go into the reasons, not long afterwards, Lehman Brothers declared bankruptcy. Google announced its withdrawal from China a month before, I found some very rarely see the Google product manager online at Linkedin, which is also the same reason. Imagine if Linkedin targeted analysis of a listed company executives looking for work data, is not very commercial value? I believe that now there are a lot of sites do not know that you can collect these Deep Data (underlying data, editor's note), just staring at some simple surface data, even when holding a shark fin radish. Says the story, just to tell you that data in the Internet, you need to use a commercial perspective to analysis and correlation, worthwhile. Data Analyst today's e-commerce company, must have seen the ability to unlock the market password from boring data. For example, when the data analyst at a commercial sense found on the website of the stroller demand rises, so he basically sales of related products which can be predicted will follow up. As another example, and traditional stores similar products on the website are not the same role. Some products in order to make money, and some products are for promotional purposes, and some products for drainage, different product placement on the website of course is not the same. It can also be found from the data. A commercially sensitive data analysts, need Nike Heels Boots to know what data to drive the company to achieve the goal. Again, two new C2C platform competition, the focus is not simply to see trading volume, but the number of daily new seller (sellers, editor's note) came in, how much they sell. Because the core of the competition at this stage is the popular, rather than the substance of transactions. If new to the seller can not sell things to come, but the old seller's transaction volume is growing, even if the final transaction volume is growing every day, there are still problems. As another example, one has just entered the market and has occupied most of the B2C market of B2C, their goal is not the same company. The former value traffic to earn popularity as the goal, but the flow of the latter sense is not so large, mature companies focus is to look at the transaction, conversion and retention rates. Data Analyst moment mostly statistical background, a pile of data in there, we are good at how to calculate return, how painting functions. But these mathematical talent than the lack of business sense, we do not know what these data mean for Air Jordan 13 Retro business, who can not see a bunch of data and who have relations, but also do not know what the logic analyzer, but can not act as the eyes of the boss. A few days ago met a boss, he said to him dozens of men scattered data every day. I ask, is not the more data the more trouble. He said I suddenly point out his pain, because the data analysis experts invited only the data handed to him, but did not put the relationship between data and business to tell him. You say that a company CEO, dozens of data every day to see what PV, PU, UV, etc., etc., they have the energy to interpret it? For them, just we need to know: the company has a problem? What is the problem? New discoveries it? What needs to be done? That's enough. I put these issues into the data to understand the world of 'dashboard', for example, how the site traffic coming in the pop-up rates can be presented in the dashboard. You drive, if the water temperature is too high, the instrument panel lighting tips. Similarly, in e-commerce transactions, some of the data can also be used to form the 'dashboard.' Therefore, the data analyst should not simply do the math. Behavioral data and business data, push each other a good dashboard, there a good case and worst case, the instrument panel, there will be prompt. Constitute 'dashboard', the logical relationship is behavioral data and business data. I got used to such a title: the front and rear ends of behavioral data business data. Preceding data refers to the data traffic, page Air Jordan 19 views, click-stream and the station search user behavior and other reactions, but more focused on the back-end data business data, such as transaction volume, ROI (conversion rate), LTV (Life time Value lifetime value). At present, some people are concerned about the behavior of the data, and some people are concerned about business data, but fewer people to conduct data and commercial data taken together. Often just simply look at one end of the data. Domestic famous website CEO, every day look at a result data: website today's volume is how much how much to sell products. But look at the data deranged people will understand that each of the data, like the stars scattered in the night, full of relationships between each other, as long as gently press one of the data, it will drive change other data . They are more concerned about the Web site users, with regard to the move example. One day, a site found their registrations increased the number of front-end, visits go up, trading volume did not go up, neither dead nor alive. In fact, this is a common problem in many sites, many employers have every day thinking about this issue. What is the reason? At this stage, in front of the people only know the Internet traffic and other data, rarely asked back-end business data, such as who has the repeat purchase? Who affects 5% -15% of the core user group come in to buy things? Who is to do positive and negative sites spread? The rear end of the trading process operating sites people only know to sell things, but rarely asked to front-end data. As a customer comes in site's average stayed 15 minutes or 30 minutes, which is the relationship between the future repurchase of big? A client into the website community and not into the community, to generate trading volume influential? It belongs not find the core user base, the reason is largely because there is no behavioral data and business data butt look. Thus, the front and rear ends of data fragmentation, no one knows the relationship between them. As policymakers website, do not know the behavior of the core features website users and do not know how to stimulate an increase in core users, but do not know after a user enters the website to go, what is the need to clear the link. Of course, this is just a piece of a jigsaw only. A front-end data platform operators, the reaction user behavior and back-end business data tens of thousands, hundreds of thousands of sellers and buyers are also where the front end of which data have the greatest impact on the entire rear end of the trading volume sites, as long as the front end for this Meng prescription data, is bound to stimulate the increase back-end data; in turn, the rear end of which transactions is relatively high, from which channels to get a clear idea of who the main contribution to the user, the site's design should tilt to them, to they are a little better, and so will have to enhance the channel front-end 'conversion' and other Air Jordan 4 Retro critical data. If a site's core user base of 10% of the monthly rate of growth, not the fire is strange. Unfortunately, many of today's e-commerce companies are doing every day, 'happen' game: A house today recommended products, tomorrow removed A family of products; today make low-cost promotion, tomorrow do offline activities. Change these decisions, there is no indication dashboard or good data monitoring, they are blindfolded in happened. [Data] car products feel to talk about topics other articles: Car products feel: Three car products feel the enemy's data network analysis: blocked website traffic 'leakage points'