Big data and data are two very confusing concepts

Data, siege

In Taobao, many shop owners think that “if there is less than 10,000 orders, what is the use of data analysis when the base is so low? So, no big data is needed at all. Only Taobao itself, Jingdong, Amazon, etc. Business companies have huge amounts of data and are qualified to talk about and use big data."

However, in fact, today's e-commerce companies can achieve a daily average of 100,000 orders. On the basis of massive data accumulation, there must be an excellent BI system, and it must be based on the company's product characteristics and supply. Big chain data is possible when the chain strategy needs to be customized.

For most of today's e-commerce companies, this step will not be achieved at one and a half. Macroeconomic regulation and control is indeed effective in small markets, and once the market becomes bigger, it depends on marketization. In the small-scale stage of the enterprise, the “head-shooting” decision with certain experience is indeed the most efficient. This has caused many companies to have no sense of standardized operation, collection and analysis from the beginning of their own data. Until the scale of the enterprise continues to expand, the big data will be discussed again. Most of them are just idiotic dreams and paper talks.

Large manufacturing companies or e-commerce companies also have ERP as a major tool to help handle inventory, while Taobao's merchants or small businesses don't understand the real-time data of their inventory, and it is even less likely to know the profit of inventory sales. This is often the case – the stocks are all unsold, and the good ones have already been out of stock, and when the problem is discovered, it is too late to clear or replenish. If you look at the inventory, you will find that the indicators are healthy, but the so-called inventory has basically become a backlog of bad debts, so according to the estimated sales profit of the inventory, not every company can do it, which indicates that the level of data management needs to be improved.

Within the enterprise, there is a large amount of final accounting data that needs to be collected patiently, but there is no special department in the general business to do this, so it is difficult to obtain high-quality data to provide decision support.

In fact, the reason why sellers feel helpless about data decision-making is because the data collection dimension is incomplete, and the management and acquisition of data is not enough, which directly leads to the inability to use data to assist decision-making. The reason why big data is being sizzled is because a few giant companies have gained great commercial value. For example, Amazon is a big loser from loss to profit. Whether it is a coincidence or a mature time, Amazon has indeed adopted heavyweight big data analysis, and its performance continues to rise. You can see many of Amazon's data-based decisions, including even the most perceptible user experience.

On Amazon, it contains all the necessities of life. Therefore, it fully grasps the raw data of consumers, and the judgments made are predictive. You can even customize the Amazon version of the product to the merchant and guarantee a hot sale. All of this is based on the collection and analysis of Amazon's big data sources.

Although big data looks good and high-end, but after all, there are only a handful of companies like Amazon and Taobao. Most of the e-commerce companies are still in their infancy, or even not. This has to rethink the relationship between big data and data.

Big data and data are two very confusing concepts. The difference between the two, each person's understanding is also very different. Big data is based on transactions, products and users. There are many products and many people, and it is very difficult to match them precisely.

Ordinary internal business operation indicators - raw materials, manufacturing, inventory, this is a relatively fixed closed process structure, through ERP, Toyota lean production strategy, the company through continuous optimization and adjustment of the supply chain upstream and downstream to carry out business management adjustment Good analytical strategies may have an impact on business indicators. Therefore, data is a kind of narrow quantitative data, which is conducive to internal process optimization. Big data is based on quantitative data, and it has a broader extension to provide decision support for enterprises. It can also be understood as big data. A further interpretation of the value weight of the data itself, that is, the weight of the data in the decision-making role is increasing.

Big data is actually a larger, more dimensional data, from the initial information acquisition to the final after-sales data. The amount of data in big data is often large, and once it is refined and expanded, the amount of data will increase dramatically, and the requirements for data storage will exceed the requirements for computing power. Regardless of how big data and data are defined, for current e-commerce companies, it is only hoped that data analysis will bring optimization of the entire process and the intelligence of the recommendation system. The value of big data is not so immediate. Every consumer and seller is enjoying the results of big data decisions, but when it is used, it is not considered big data.

In fact, Baidu keyword search, which is often criticized by people, is the most daily application of big data. Baidu will provide a keyword ranking screening system (which involves bidding, weight evaluation and many other factors, not to expand), on the one hand, search content. The sorting of relevance, on the other hand, the search system will automatically prompt other related hot words (such as the right side of the form may be other company business cards or related terms and the prompt below the search bar "You may be looking for Xxx"), telling which words are more accessible to similar consumers. This is the earliest system to use big data, based on Baidu's hundreds of millions of searches every day. Every company that buys Baidu keywords is actually using big data products. In addition, Taobao Express and Data Cube are also derivatives of big data.

If companies want to achieve some results in the era of big data, we must pay attention to the use of big data, flexible use of big data tools, these tools are currently at the forefront of big data technology. The value of big data to the enterprise depends to a large extent on what data tools third-party service providers can provide. As a company, you should find the big data tools that suit you from dozens or even hundreds of tool providers.

There is another important application that has to talk about big data - advertising is precisely placed. If you want to listen to this later, I will say it alone. After all, this piece of things is too deep and too many pits. It can be said that it is enough to write a bloody tears of decision makers...