Which types of big data companies are more bullish by VCs

In these IT companies shouting big data, in fact, there are few it vendors that really have the strength to provide a big data-complete solution, especially the large data-domain infrastructure, the traditional IT giants IBM, Oracle and other companies. The larger number, then, is the company that provides some technical services for large data. Where are their chances?

These http://www.aliyun.com/zixun/aggregation/13568.html "> Large Data Technology services companies, in the big data boom, there may be two kinds of fate." Either by the IT giant Fancy, signed a contract, to give a cheque to buy it, or to attract some VC company's pro-Lai get financing further development and expansion. Of course, there is also in the fierce competition, because the wrong side, and more wrong direction was squeezed behind the company, here is not to mention.

Figure this is a society full of information and data

Obviously, the current situation is that large data is in the ascendant, domestic and foreign large data markets are in the brewing period, enterprises for large data processing means not much. More importantly, many large data vendors are in the groping stage, the market situation of large data looks more like the state of the Warring States warlords, who occupy a territory as soon as possible, the future may dominate one side. Invest now and get the maximum benefit in the next 2-5 years. So, in the opinion of VCs, this is the best time to invest in big data.

So what types of big data technology companies can attract the attention of VCs? In the near future, Qiming venture partner Hu His insights in a forum dialogue session.

Qiming Venture investment bullish three types of large data technology companies: 1, directly enhance the site to become the ability of large data technology companies; 2, with the upgrading of consumer goods, can improve the purchase of conversion rate of large data services companies, 3, can improve the government departments in a certain area decision-making precision companies.

Of course, different VCs may have different views, but the direction should always be large data technology service companies with growth potential. As a result, small and medium technology services companies, including small and medium-sized companies, are preparing to enter large data areas, and if they are interested in attracting VCs, it may be appropriate to weigh the recommendations made by VC companies as reference.

(Responsible editor: Lu Guang)