The importance of "big data."

Undoubtedly, Big Data is one of the hottest Internet terms in 2013, appearing in the annual reports of many e-commerce giants. According to relevant information, we can see that iResearch surveyed nearly 1,200 enterprises, and 97.9% of enterprises think that the data analysis is very important for the e-commerce operation. The "big data" awareness is being known by e-commerce companies, as opposed to more than half of the surveyed companies that their e-commerce data analysis capabilities are not good enough. Clear market gap also created new market opportunities, some providers of data services should "beg" born.

It's not easy to get data in the business for good control of your data. For e-commerce practitioners, data collection, integration, insight should have a professional and rigorous method system, each transaction, each input is data, through the computer to do screening, sorting, analysis, the result is not Simple, objective conclusion, but can help business decision-making and guide to stimulate greater spending power. The market, the industry and the operation are all in one trinity. They really grasp the consumer demand in the vertical market. They keep a precise track on the industry dynamics and strive to be at the forefront of the market. They need to integrate channels, resources, refine operations and pursue profit maximization. Through effective data analysis, we can visualize information such as market demand, industry changes and competitor dynamics.

To Taobao platform, for example, Taobao's big data can include Taobao businesses open transaction price, turnover and other SKU, just grab these huge amounts of data, cloud computing analysis, calculation, you can provide for shop operators including products, Brand, industry, competitive stores and other multi-dimensional market information data, through professional data analysis, can help companies interpret the data behind the market opportunities, and even mining the potential value of the data to make business decision-making guidance.

We look at big data from the perspective of a Taobao entrepreneur. Suppose he plans to open a franchise Taobao shop auto parts, shop before the most concerned about is the selection of goods and the amount of stock. According to data 007 to provide us with data, from the industrial dimension point of view, in Taobao car accessories / accessories / modified classification, the first sub-category is the automotive supplies / interior products, a total of 27,964 brands, the entire network has reached the number of products 569,682, the monthly turnover of 7,697,475 pen, the total turnover of up to ¥ 484 million! Can be seen from these visual data, many auto accessories interior sub-industry brands, the market does not develop a high proportion of monopoly brands. In this context, the entrepreneur need to consider is based on input costs, the measure is to open Tmall build auto parts / interior industry's leading brand, or a subset of the main product category Taobao C shop.

Again, judging from these data from the brand dimension, you can know the brand sales rankings under the monthly major categories of automotive supplies, as well as the share of the brand in the industry, the turnover of the designated brands, the market share trend , The number of stores to do the trend analysis, from another perspective to provide a reference for entrepreneurs.

In addition, from the store dimension to analyze, you can get the car accessories under the big classification of the shop list, and can give entrepreneurs the care of the store's monthly and yesterday's valuation rankings, specific to the breakdown of shops, and popular shops For example, the attributes of the good and the good, the amount of collections, the number of products sold, the brand proportion, and the percentage of the categories are extracted. The analysis is made on the trends of the industry ranking, the shop valuation analysis module and the turnover.

And through the commodity dimension under the commodity hot list, you can get the number of transactions of designated commodities, the turnover of the industry, the trend analysis, including: fluctuations in commodity prices, trading volume and volume fluctuations and other indicators to understand The acceptance of goods in the market and so on.

Through these four dimensions of data analysis, you can intuitively help the prospective Taobao entrepreneurs understand the external macro data, real-time tracking industry competitors or industry-standard bar operating dynamics, so as to effectively formulate the most accurate strategic decisions.

Some of the information in this article comes from China's leading e-commerce data service provider, data 007: www.data007.com