Vientiane welcomes guests from all directions and gathers industry leaders in the future. September 3 to September 4, CDAS 2016 China Data Analyst Industry Summit was successfully held in Beijing International Convention Center. During the two-day conference, nearly 100 domestic and foreign experts shared their views and suggestions on the big data industry and the development of data talents. The summit attracted more than 3,000 data analysis practitioners and enthusiasts to participate in the conference, setting the highest number of participants since the three sessions of the China Data Analyst Industry Summit. It is the premier industry event.

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CDAS2016 China Data Analyst Industry Summit

3000 people gathered at CDAS 2016. What did you talk about at this event?

丨 Unpopular big data penetrates all walks of life

The summit set up a main forum and 15 sub-forums, covering the Internet, finance, e-commerce, database, communications, biomedical and other industries. Among them, finance, the Internet, spreadsheets, business BI and other "traditional strengths" are full of participants, and human resource management, transportation, tourism, and talent education industries that sound "unpopular" are also full.

Cao Xin, co-founder of CDA Data Analyst

During the summit, dozens of companies conducted business presentations in the exhibition area. According to the relevant person in charge of the summit preparatory group, compared with previous years, the participating companies in addition to large companies such as IBM , also added many sub-sectors of startup companies, such as the database focused on financial data analysis platform, based on Internet data A number of consumer and market research stories, tactical data for user behavior analysis of Internet companies, and the use of data to solve corporate employee welfare and caring issues, such as Caring.
According to Xu Yabo, the founder of the number storytelling, in recent years, many changes have taken place in the traditional market research field. In the past, small data mainly used for research has been used. Use data to help brands better understand users.

Zhang Xiang, Director of Data Operations, Beijing Municipal Transportation Card Company

While the data analysis industry is subdivided, it is also constantly opening up and integrating. Zhang Xiang, Director of Data Operations of Beijing Municipal Transportation Card Company, shared relevant data of Beijing Government Card and its mining applications on the main forum of this summit. It is reported that these data are large in volume and high in value, but their research results are rarely disclosed. Zhang Xiang told reporters that this is the first time he has participated in a large-scale non-governmental meeting like the CDAS 2016 China Data Analyst Industry Summit. "In the past, we participated in exchanges between various government departments. Now we are happy to come out and work with industry colleagues Communicate a lot, and seek more opportunities to make good use of data. "

丨 "Data analyst is a junior data scientist"

The China Data Analyst Industry Summit has been held three times so far. As the organizer of the summit, CDA data analysts under the House of Management have been focusing on data analysis talent training for many years , and the talent development of the data analyst industry is an inextricable topic in previous summits. In the roundtable dialogue session on September 3 main forum, the data expert with the domestic industry colleagues from IBM Big Data University on this topic were exchanged.

Whether at home or abroad, data scientists are scarce resources. To become a data scientist, you must first become a good analyst. Saeed Aghabozorgi , chief data scientist at IBM Big Data University, believes that data scientists have many years of experience in data analysis, can answer questions from managers, help managers make decisions, and provide decision-based reports ; but the work of data analysts is relatively simple and can With data, if it is necessary to create new algorithms, you can also do research and development on algorithms. "Data analysts may be junior data scientists."
But in many domestic companies, the job of a data analyst is not that simple. According to Wang An, the founder of Fire Technology, "I used to be a data analyst in an enterprise. I promoted the company's entire data policy and helped the enterprise promote the idea of data ... I can model, I can also do models and machines. Study. But I define myself as a data analyst because I pay more attention to the problem from a business perspective . "
Whether it is a data analyst or a data scientist, a deep understanding of data is inseparable from a deep understanding of the business. In this regard , Chang Guozhen, Dean of the CDA Data Analysis Research Institute, said that CDA data analysts were more business-focused at the beginning of the establishment. In the process of gradually establishing the curriculum system, they also focused on introducing enterprise case courses to train data analysts. Actual combat capability.