[Industry] insights five questions about the data in the table ecology

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Only the truth is that I swear to defend. 

- Cartwright

  640?wx_fmt=pngChina Software Network Daily Collection

As one of Taiwan's most dazzling star field - the number of Lan technology in the June 22 summit held several habitat.

This was established only three years of the company, is the industry's first summit held thousands of field-scale data sets of manufacturers.

Interestingly, in this and Ali cloud "Yunqi Conference" quite a little like the "Number of habitat Summit", the number of Lan Technology proposed long-term vision to build data sets ecology.

In the current number of service enterprises in the field of ecology, ecological data sets in a little new meaning.

The ecological future have a future?

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(Picture from the network)

1

To answer this question, first answer market size data units have much.

Our sea than the study is a judge, and then there is a period of about three years, will replace the data in large data sets, data become synonymous with DT age class project.

There are two reasons. First, big data is a technique that is particularly the reference to a data in the enterprise and there is no corresponding business processes and business links positioning. After the big data is becoming increasingly popular, it will not be a normal project title; second, the data sets have a clear business processes and business links positioning in the enterprise, it will become the hub of business management and core data assets, it involves data includes both the traditional "small data", including big data modern. Big data management and application will be included into the scope of the enterprise data platform.

Therefore, the data in large data sets included, data in large data sets market is greater than the market .

Future all companies need to build their own data sets, to build their own data collection, management and service system.

In this sense, a huge market space station data.

Data which is committed to the ecological station of course, a huge space, the future can be expected.

In DT era, ecological data sets may become the core strength digitization.

2

The face of this huge market, there is no obstacle in the development stage of the current data it?

On the whole, there are currently three major obstacles.

First , enterprise products and tools to build data sets needed to operate the system, the solution is not yet mature.

Data presented in the concept stage of just a few years, the concept itself is not mature enough. This leads to the concept developed in accordance with current data sets of products and tools are not mature enough.

Second , the application scenario data stations further excavation was not rich enough.

It should be noted that this does not mean that the data sets in the enterprise application scenarios are very few, but currently has not been full recognition, has not been fully tapped.

In fact, any business or organization that has a number of data sets can be innovative application scenarios.

It is a huge treasure library now has not been fully tapped.

Third , professional data sets too little.

The value of the data sets to play in the enterprise, to be applied well, it must have both familiar with the business operations, but also to understand complex talent data analysis.

Now, a serious lack of the market such talent.

3

How to get rid of these three obstacles to it?

Eco-building is the best solution.

If there is a station in the area of ​​data we have mature product, a mature platform for the company, and its platform as the core to build ecological, will help solve these challenges.

The use of relatively mature platform in Taiwan and other data related product or solution development, the equivalent of standing on the shoulders of giants to promote the business, which can enhance the product maturity and so on to the platform class level.

At the same time, because of the large number of developers, partners in the development and application of a variety of data sets on the platform, will greatly enrich the scenario data sets, so that the value of the data table full play.

Talent is needed to solve the ecological forces.

4

In the table data ecology, will be born a new role?

The number of habitat Congress, the number of Lan Technology proposed a new role in the data table Ecology - IDV .

When the number of Lan introduction of "Helios Project fire plan," they first introduced the "IDV" (independent supplier of data capacity) concept in the industry.

And ISV (Independent Software Vendors) different, IDV focus is the data capacity of service providers , they provide not the software, but data management, data management, data analysis, data services, and other services. They either help companies with core data service capabilities, to provide customers with a variety of data or services directly.

In the age of software, ISV and Microsoft, Oracle and other eco-owners together to create the pinnacle moment of the industry. In DT era, IDV whether the data can create a glorious era?

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Number of Lan Technology founder and CEO Gan Yunfeng

Gan Yunfeng very confident. According to reports, the number of Lan Technology program within three years and 1000 IDV common services 100 000 end customers, by building ecological data sets, and product standardization, generalization and data Pratt & Whitney of the station.

In theory, a new ecological, usually the birth of a new role.

Whether this important new role will be the IDV?

From now on, further observation.

5

Eco is desirable, but now build data sets ecological opportune moment?

Eco-building requires four core elements.

First, there is a core of the product;Second, there must be support eco-operated platforms;Third, there must be a sufficient number of users;Fourth, have enough capital support.

From now on the development of data sets point of view, the core product initially have, operating platform being set up but is not yet mature, the number of users is also not a lot of capital can support in place.

From this perspective, the current stage in the construction of ecological data sets in the timing of some premature.



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Origin blog.csdn.net/Z1Y492Vn3ZYD9et3B06/article/details/94501326