Large data into long term enterprise application running-in period

There is no it terminology such as large data in an instant by people word of mouth, everyone can tell the truth, and no one technology such as large data who can say but who can't say all; there is no one IT solution that gives the best business idea to the enterprise, like large data. Large data from the national level to all walks of life to various enterprises, have their own, and even the future development of the Foundation and Magic weapon.

But after being constantly recognized, there are always some worries. Just as a person at the peak, the more certainly the more the time, there must be difficult to find weaknesses. Big data is like this, by the industry a bullish, from manufacturers to enterprises, large data on such a short period of time to become look very prosperous. and flourishing, its entry should be one is the sedimentation period. We should see that although big data has been repeatedly affirmed, its results are few. While all businesses know the good of big data, they don't do much.

Only a small part of CXO advocates using big data to speed the transition.

At present, we can see that many enterprises for large data understanding and application are relatively simple. And for the executives of the enterprise, may know the importance of data, but the real use of large data to make some changes is not much.

Last year, IBM said in a survey of big data, "Analysis: A value blueprint," that only a small percentage of executives (CXO) are strong users who use large data and analytics to speed decision-making and change. One of the data is that One-fourth of CEOs and COO pioneered the use of analytical insights. This is the 2013 market research situation, this ratio increased by 10% in 2012, but far from reaching a prosperous state.

So in fact, from within the enterprise, you can recognize the importance of data, but did not really use it.

There are many reasons for this, there are the whole industry development maturity problem, there are manufacturers of technical products. But we are mainly specific to the enterprise application level, there are three main reasons.

The data of enterprise primitive accumulation is not enough to support the analysis. Most Chinese enterprises ' informatization development also experienced relatively extensive process, especially in the data accumulation did not do well. Many enterprises are still in the entire corresponding business system to solve the problem of information islands. So on the basis of this data, the enterprise is also difficult to do the corresponding analysis, not to mention from the data analysis to innovate.

The second reason is the relatively high cost of new data acquisition. Many say companies can learn more about their customers, know what they think, analyze potential needs, and so on. But for most enterprises, to obtain these data, human costs and economic costs are relatively high, so more or less in the wait-and-see state. It's good that more companies can make bi clear.

Finally, the level of understanding of large data in the enterprise is not the same level. The above mentioned CEO and COO initiative is stronger, because these two roles are mainly in the business perspective. The big data, after all, involves the technical dimension, which is mainly the CIO level. So in fact, a large data project to real in the enterprise, will inevitably touch a lot of departments, and each department's starting point and understanding is not the same, on the corresponding increase of large data project development.

So, seeing these reasons, we will find that although large data is flourishing in sound, the real knowledge and application in enterprise is just beginning. And this beginning, we should see and dig is some typical application and most likely, easiest to realize the domain, with large data gradually through the running-in period of the application.

Large data closer to personal service level

Large data and analysis will undoubtedly remain one of the most popular links in enterprise applications in the 2014. In a report just released by Forrester, the research institute, corporate customers will be more proactive in investing in China's bi, large data and analytics sectors, especially banking/financial and retail organizations. CIOs are bound to have numerous discussions about big data, including large data architectures, predictive analysis usage cases, and large data-related skills and training.

In addition to this technical framework and skill level, the core problem for an enterprise is to find areas where large data can work.

Some of the areas that Forrester mentions have a lot in common that are related to the end-user experience of the enterprise. In addition to the mention of financial, retail, the facts like medical, Internet and other areas, will also be large data explosion application of the industry, and the application of the breakthrough should be to improve the customer experience.

In 2013, we saw some of these cases. For example, IBM large data program in the application of the competition in the network, a big role is to improve the individual users of the game's attention and participation degree. In addition to the many industries we mentioned earlier, a big demand is to use large data to enhance the customer experience.

For example, the financial industry, more traditional financial institutions, the service process is relatively complex, which is why Internet finance will bring a great impact on this field. Because now consumers are more looking forward to more humane, personalized service.

So we can see from this, then big Data application of the big area of the breakthrough is still in this direct to end consumer service level. Of course, this application direction, the original business model, work flow will be a challenge. For example, the original enterprise's new product design direction, etc. may depend more on the idea of the internal product department, and then more need to do is to use large data to get consumer expectations, and then on the basis to do the corresponding design; and as we mentioned earlier, the different views of cxo must be a challenge, Between the CXO because of customer's orientation and need each other to running-in work way.

But the big data enters the enterprise application comprehensively, must experience such running-in and the precipitation, can bring the precipitation after another prosperity.

In addition, for some relatively traditional areas, the larger role of large data is to promote enterprises to begin to attach importance to, integration of data, and the existing data has a certain degree of analysis, to help enterprises better understand themselves, carding business processes.

Therefore, in general, we believe that large data in addition to a variety of beautiful ideas, for enterprises should be a step-by-step construction process. When experienced a variety of lively discussions, large data in 2014 should go to the enterprise application of the running-in period, after the running-in will have more surprises.