Teradata Professional Services: "Data scientists" to build industry enterprises

Source: Internet
Author: User
Keywords Data scientists data scientists build data scientists build day-Rui data scientists build day-Rui through data scientists build day Rui through understand

With the full swing of large data analysis together grew up, is the daughter of hard to find "data scientists." The vision of Teradata's professional services team is to be the "data scientists" team that helps companies build.

The continuous reduction of the price of computing and storage resources, the continuous evolution of Newsql and NoSQL database technology, the popularity of distributed processing systems on general-purpose server platforms such as Hadoop, make the task of statistical processing of large and unstructured data more rapid and cheaper than ever before. But the data itself has no value, only through tools and analysis, from the data to find the relevance of the relationship, and through easy communication and presentation of the way to the manager, ultimately to achieve business value-added. This role, with the big data analysis in full swing grew up, the daughter of hard to find "data scientists."

Not only the internet, but also traditional industries. In these enterprises with large amount of data, it is possible to have "Top-down" program design, complex technology interactive application, in-depth understanding of industry business, with a strategic voice of the Enterprise within the "data scientists" few. Zhangxi, director of Business Analytics at LinkedIn, even told CSDN cloud-computing reporters: "Even in the United States, there will not be more than 500 top-tier data scientists."

(left) Teradata Company Professional Services deputy general Manager Qianliqiang (right) Teradata Company Greater China Professional Services general manager Zheng Boven

The most important part of data mining, how to meet the needs of top talent? 2013 Teradata Big Data Summit, Teradata Company International Group president Hermann Wimmer to reporters specifically mentioned "by the professional industry consultants and architects composed of professional services team."

This group refers to a very heavy advisory service in the total revenue of the Teradata (2012 TERADTA total revenue of USD 2.665 billion, of which 1.297 billion were from the technical part of the product and the consultancy service earned more than $700 million). Teradata Company of Greater China Professional Services general manager Zheng Boven said: "Teradata Global Professional Services team of more than 5000 people, more than 600 people in China (not including partners), distributed in Beijing, Shanghai, Guangzhou, Hong Kong, Taipei, Chengdu, Inner Mongolia, Shanxi and other cities, specifically for the industry Enterprise Services. ”

It is reported that Teradata Company's professional technical services team and research and Development Center is a parallel relationship, research and development is subordinate to the headquarters Research and Development department, focusing on product development, database and other tools research and development, professional service team to project implementation, members include technology, business consultants and industry consultants, more is to provide professional consulting, Program implementation and other data analysis and other in-depth services. From the work level, divided into two: one is biased customer service, to assist enterprises to solve system problems, whether it is the underlying server, storage, operating system, database, Hadoop, aster can be handled, call center in Dalian; second, in-depth understanding of business, Can help the enterprise realize the data value through the newest technology such as the BI platform tool such as visualization. Zheng Boven led the latter.

In his view, the professional service team's important job is to help industry to create "data scientists." Industry data scientists need to do three things:

1. Quickly import data from different systems into the analysis platform system;

2. Use of skills and methods to gain insight into business-related content from data;

3. Abstract, translate insights into the language the Enterprise understands.

"As with the analysis of the rate of purchase per page clicked by the Electric business technology and Analysis Team, it is not complicated to build the data warehouse, the complex is the application environment composed of data warehouse and application system, and how to work through industry consultant, business consultant, user technology Department, Enable management to obtain a clear analysis of the results through platform and system, and then quantify ROI (return on investment) and bring new marketing value. Professional service teams can help businesses in these areas. ”

Want to from such a high level to intervene in the industry enterprise information construction, more than one. Teradata Company Professional Services deputy general manager Qianliqiang that Teradata has four points of advantage:

1. Accumulation, Teradata in the industry enterprise market has a very deep accumulation, in the amount of TB data, the top customers have used Teradata PB-class programs, these experiences are extremely important;

2. Professional, consultants will be required in a very short period of time to provide data reports to show the value behind the data;

3. Value, comprehensive normative services will help enterprises quickly realize the data value analysis, access to new marketing opportunities;

4. Word of mouth, grow with the user, let the value of technology and service can word of mouth.

Industry enterprises are at a sensitive moment in the process of large data analysis. Qianliqiang: "Technology, domestic industry companies have been synchronized with the international, such as Hadoop and other new technologies, and in business understanding especially the last kilometer of the competition is at a critical stage." Take the bank as an example, initially showing the data is deposited and expenditure, regular, current, financial, etc., but if the data means to understand the behavior of savers, such as starting from the pick, business, consulting financial products, what language, which sentence let him make the final decision and other process data can be integrated, Then you can really complete the transition from trading to interaction to deep marketing. ”

This process is open and requires an ecosystem. Zheng Boven said: "The professional services team is doing is on the Teradata platform for more application requirements of tools and platforms (such as SAS or many open source visual tools, etc.) to provide enterprises, truly help enterprises into the large data age. ”

(Responsible editor: Fumingli)

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