Gao Wei: Sub-letter Data asset cloud DACP what kind of product

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries the questions from the government authorities to the needs and practices of all walks of life, and probes into how the government, finance, operators and so on can realize the transformation and industrial innovation through the management and operation of data assets.

The conference held a "National research-Asia-Credit Strategic cooperation" Conference, the large data and national research culture Media announced the establishment of a large-scale data based industry development and forecast index platform and other cooperation. In addition, the large data "data asset cloud" and "Data Asset Management integrated Machine" also appeared on the scene for the first time. DACP senior director Gao Wei introduced the sub-letter data asset cloud picture in detail.

Gao Wei: You respect the leadership of the media friends everyone good morning, just we saw a cool video, this video has talked about a cool product, called the DACP data asset Cloud, I believe that at this moment you have a lot of curiosity in mind, want to know why this product is cool, can help us solve any problem. Next I'll make a brief introduction. First of all we look at today's conference theme is called aggregation data assets, so the data is the enterprise organization and the country important asset concept has been familiar with, but what is the data assets, how to manage data assets, as a business organization how to accumulate assets gradually and continuously increase, and add value, Become the most critical competitiveness of enterprises? The solution to some of these problems may, in addition to the theoretical aspects, require a complete solution.

But this solution we say is not easy, simple. Because we will encounter a lot of problems, need to have long-term practice to explore and accumulate, need to have trial and error and even greater investment in products. We look at the data, for example, the definition of data business, we see how to obtain business, income is very important indicators, but the income has a lot of division, from income generation and so on, when you never look at indicators, you may have such a business judgment and different, of course, the result is not the same. The process seems simple, but it's not that simple in practice.

Recently I came across a very famous company in China Chi, an enterprise IT executive with more than 100,000 employees, said that the number of indicators our company might be concerned with was guaranteed to be consistent, but the other thousands and possibly thousands of different departments understood that the definitions were different. We look at the same indicator name in our Data asset capability table, but the content is different, or the content is not the same, the name is the same. For example, today we have a simple report to look at this year's receivables, the light of such a thing he will need to spend a lot of energy to determine which indicator is appropriate, it may be such a report generated two weeks or even three weeks of time, so this time is very long. May affect your asset approach. There are more questions. For example, there are a lot of new platforms, Cross-platform management, including the development of data cooperation in the consolidation, when you carry out this management when you need to do a lot of costs, this is a very big problem, but fortunately today we have a workable solution, the Asian letter Dacp Hua Complex for Jane, The product data into three areas, the first we want to provide a form of data self-care, to solve the data can be controlled by the problem, and then our assets are more used by business units, so we have to solve the problem of data application. Then there is the data asset, and as an asset attribute we need to run it, including cooperation, assessment, trading, transfer, and so on. We'll look at it a little bit later, for example, the data assets to deal with this matter, it actually has a lot of theoretical system including technical functions in the inside, today because the time relationship can not be so fine, I think just a simple comparison of traditional ways to do with the way we do, the biggest difference is what? We simply use a simple and easy to understand the difference between two pieces of skin and a piece of skin, what do you mean? People who may have done data management have a feeling, for example, how to manage data management, often define a standard, do a specification, some system out of some management means, we data to combine it to monitor it, but such management is actually like the way affixed to the wall, with the traditional use is the same. This is very difficult, often because some small negligence does not pay attention to, may appear before said in a so big company inside actually have the same name report indicator of things.

What DACP offer? We have the entire data specification process and data processing process integration, any data on our side need to be in our platform has a corresponding definition of norms, in which there are corresponding inspection rules. So we solved the problem of duplicity management through a piece of skin. And the big data age is the relational database, in the new era we will have more technology, at the same time we need to consider some other data how to govern, have dacp their own ideas. Let's say we get the data in the data mining analysis and start processing, but we think that in the data production point, such as an inaccurate address record is not able to use, so this runs through the entire process, so we need to put data assets in its various stages of the data in the unified management of the state.

Again, for example, we may be concerned about the data indicators, today, since the data assets, what is different? Data quality may be more concerned with what the data definition is, and what the simple description of the business is. But for the data assets may be to see who it belongs to, its permissions, its value and so on, so we have to solve such problems. We have summed up the idea of a word called three whole, in fact, the whole process, the entire process, the whole life cycle. Then the whole police view, see different management requirements. When we're done with the data asset processing, we do the second thing--the need for data application level, here we say some points, the so-called application is here a lot of data to do business units, for everyone concerned only two aspects, the first can be the fastest to us, such as three months to give me a report, Day Lily is cold. And how to enrich the form. So in how fast above, take just the example for example, a few days report to develop in a few minutes. At the same time we provide a complete set of techniques in the past to manually write code in the platform to help him through the platform. We open a report building blocks like the extension of the drag-and-drop rendering way, so faster. I think, may be in the near future everyone saw the report may be online Web-type data, it will put a lot of data, management tools including the implementation of the means in the inside, you are not looking at PPT information, but can interact with the data, can be combined with your management ideas. So we look at a WYSIWYG development application that is developed and used in many points. such as solving management problems, perhaps in the system of the Trans-national company, in Beijing can use Shanghai is not used, because Shanghai's data structure is not the same, we DACP to give a different level of encapsulation, as well as the corresponding environment, we through the Beijing Development and application through rapid transfer can achieve multiple use.

To achieve this, we have integrated a lot of advanced features and innovative features, such as we have more than 100 visualizations, and we are integrated in 100 scenarios into a form of data application that is not just a silent thing in our database, but a real value and a real function. , and finally create more innovative data features.

On the third level, we provide data asset operations, we are around an asset management characteristics, we start from the data asset inventory, such as where the data are placed, how many, we find data how to find, we tell a carrier example, we have a time before doing data analysis, we have a friend to do data mining, He has friends who find a relationship between a product and a customer, but he doesn't know how to get the data, maybe one months later, it's the way to get the asset to solve the problem quickly, as well as the asset assessment, which is hot. The most data we use may be the hotter data, but we can discuss it later.

Then the protection of data assets, the allocation of data assets, including the very hot data assets of the cooperation and openness there are a lot of innovation, as we are the two years of long-term exploration and research, but also want to communicate with you. DACP we introduced it cool, but it is not only this, but even we are in the operator of these management ideas, it and product features together, and then this product is not released today when the hot, we have 12 years of product accumulation, including we have a lot of implementation, proprietary technology, The current pipeline data scale is also a number of PB data centers, as well as our current cases across the country, we currently cover 300 million end-user management data. So DACP we are still a feeling of the product, we hope that through the application of DACP can make the enterprise's data and organizational assets, really become data assets, and become a continuous creation of value. The above is a brief introduction I made, as PPT said more likely to discover value, we hope to communicate further.

(Responsible editor: Lvguang)