Knowledge change and opportunity SAS high-level discussion on the future development of large data

3721.html ">2014 year April 17, the second SAS China User Conference and Business Analysis leaders ' summit, with" Large data analysis-knowledge change and opportunity ", ended successfully in Beijing. At the conference we learned about the convenience of large data in various industries, and we had the opportunity to interview Mr. Paul Kent, Global vice president of SAS Data research and development, and Mr. Wu Xishi, President of SAS Greater China, and Mr. Yong, general manager of risk management at Ping An bank, Through the three-bit explanation we have a new understanding of the uncle and SAS.

Big data has great potential in China

For many technology companies and large companies, it is necessary to do large data analysis and management, and in the face of some small and medium-sized enterprises do not have so much data, there is no need for big data analysis, it is in the Chinese market whether the large-scale application of large data? Mr. Paul Kent, global vice president of data research and development at SAS, said: "In fact, the deployment of large data is not necessarily for large companies to do, SMEs can also do, because large data can bring new business model, in the new model has new value, and to add external resources have new data products, The future is a new business opportunity, not necessarily very big, such as five clusters on the good, North America is 100,000 dollars A, not like Google and Yahoo, for small and medium-sized enterprises to 5-10.

And, the initial investment is small, for the future investment is very suitable, the spread of the benefit is very large, the future in the Chinese market still has a big market, now many of the firm are doing marketing and risk management, the Chinese market has the potential to grow. ”

Large data at the mobile end of the charm

How to develop an effective and complete mobile end solution for SAS with increased user demand at the mobile end? Mr. Paul Kent said: "We work with a foreign operator who collects information about the location of the individual's users, of course in the application, and asks if you can upload your location before application, and through analysis you can draw your analysis And the next generation of mobile phones will have monitors to check your physical health, and through analysis to help you solve the health problem. ”

At the same time, Mr. Paul Kent says that big data can be more interesting to play, for example: "By installing a sensor on a bicycle, you can compare and analyze the data when you and your friend ride on the same road, providing very interesting data, which will also allow the user to hand over some of his privacy information." ”

Multi-model Assistant enterprise development

How do SAS give scientific analysis to industries and enterprises with less data but faster increments? Mr. Paul Kent said: "We have different models for different industries, such as the technology of retailing, we will find out where the increase in population to model the design, and through the off-site comparison and optimization, but also to do the development of digital marketing, such as texting, free movie volumes, Technology that allows computers to perform data, digital marketing optimization is owned by SAS, and banks and electric Shangdou have such functions. ”

Working together with Ping an bank for data mining

In the interview, we had a deep impression of the whole SAS development in the Big data field through Mr. Paul Kent, and I had the honor to invite Mr. Yong, general manager of the risk management Department of Ping An bank, to introduce the deep cooperation between ping an bank and SAS. For user risk privacy and data mining combined with large data, Mr Yong said: "Our bank's information collection is in accordance with the CBRC regulations in the customer information and marketing, and abroad have a very mature practice, what information is public, what information is not open, in the country, for a long time is strictly according to state regulations go.

Through the data mining over, SAS marketing optimization and integrated marketing, will let us reasonable arrangement of my marketing strategy, such as 2 marketing events to more than 24 hours, so the marketing command in the decision-making center, integrated marketing management, through optimization conditions to ensure that the impact on customer marketing is minimal. ”