Large data traditional thinking medium and small-sized Enterprise Development Course

Source: Internet
Author: User
Keywords Large data very compulsory traditional

For enterprises, especially in the http://www.aliyun.com/zixun/aggregation/9348.html "> Small enterprises, in the large data wave to their own use of large data to participate in market competition, the first thing to do is to have Big data thinking, which means that the data function is really powerful, it can reflect a lot of realistic problems, but also can predict a lot of things we do not see, but, in the author's opinion, we have to have large data thinking, because not all problems can be simple with large data to solve.


Large data traditional thinking medium and small-sized Enterprise Development Course

For businesses, like people, have their own good at the same time also have their own shortcomings, but the supply and demand balance problem, leading to some side strong, some side of the weak concessions, such as bat large data, if we do not use their large data, the market value immediately burst, and vice versa we also need giant data, The core is that there is a need for more urgent, so you will appear weaker.

In addition, cost is also the enterprise operation of large data need to consider another important issue, we spend money to buy large data services, like the launch of the keyword and precision marketing ads, users need to refer to a lot of success stories, user behavior is difficult to locate and your industry match.

In exchange for the virtual network, is the mode of operation of the media, in addition to the first mutual powder, introduce each other, there is a pattern is from the media Network Exchange, to each other, can be 2 ways, one is large with small way, one is the same level of the resource exchange. Note that in exchange, you are better off in different industries.

When using large data for marketing, in recent years, many experts in the industry are highly praised a method, enterprises through the collection of different levels, different stages of the different needs of users, and then the collection of large data collected and analyzed, to obtain the product, market reference data and information, So that the enterprise for the next step of strategic planning to provide guidance advice.

If it is just a verbal big data thinking, do marketing only borrow the concept, not to borrow data, it is likely to do a loss of business, big data applications and entrepreneurship, the first to remove the idea is particularly important.

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