Big Data hot discussion behind the enterprise talent overall shuffle

"The amount of data that the Internet generates every 2 days is as much as the amount of data produced before 2003; in three days, netizens send more than 1 billion tweets, and 5 million transactions are recorded every day." ”

"IBM sponsored the National College Students ' mathematical modeling competition for the first time, and set up special awards to motivate college students ' interest in data analysis and modeling."

"McKinsey's big Data report predicts that by 2018 the gap in U.S. advanced data analysis talent will reach 50%-60% of the actual supply of talent."

"The US Bureau of Labor Statistics predicts that demand for data analysis professionals will grow by 24% over the next 8 years." ”

News from China's broadcasting network says there is a shortage of project data analysts (CPDA) in the big Data age.

The report from McKinsey points out that the current IT industry's demand for data-analysis hybrid talent, and the company's ability to maximize its analytical potential, can generate up to 60% operating profit margins. Enterprises should pay attention to the voice of the industry to stimulate the competitiveness of the top talent. Executive Vice president of analysis of Target data Scottbelli said: "Today's CIOs need some big data ideas." "This type of talent with project experience and data analysis technology has become so important that companies without these people may face difficulties with product release and the results of any number of project delays."

Now, as all walks of life become aware of the concept of large data, recognizing that data analysis can bring new value to the enterprise, the corresponding project data analyst talent demand is also increasing. Data analysis is becoming a core business or decision support of the enterprise, as large data continues to become larger and more mature in the field of analysis.

The content of the project data analysis, for some people, this means that the visualization of the data, for others means data mining and predictive analysis and data modeling draw conclusions. Data analysis experts are needed in different areas, some to emphasize technology, and others to explain the business problems of digital processes. The key is to know the strengths of the people you are looking for and to understand his analytical skills.

Complex project data analysis talent to do their own career planning:

1. Full-time posts

The project data analyst is engaged in a full-time position as follows: CIO (figuratively information Officer) Chief Information Officer, CDO (figuratively data Officer) CIO, (Senior, senior, securities, operations, etc.) project data analyst, data analyst, data analyst , data mining personnel, data Analysis supervisor, data analysis engineer, data analysis director, etc.

2. Other Related Posts

The project data analyst plays a full role in the work, enhances the job performance, strengthens the decision-making science, enhances the work decision-making success rate. By participating in "project data Analyst" Learning to improve the performance of the job generally include: company legal person, project director, Marketing Director, Financial Controller, audit staff, accounting staff, electrical business personnel, IT staff, investment company practitioners, bank practitioners, evaluation company practitioners, Enterprises and institutions of investment Department personnel, decision-making department personnel, marketing staff, marketing planners and other related.

3. Establishment of project data analyst firm

As with the economic and social development of CPA and law firms, the project data analyst firm, composed of project data analysts, has played an irreplaceable role in China's market economy stage, and has begun to contribute its own power to the national economic development and local industry transformation. The project data analysis firm has been paid more and more attention from the construction of large data industrial parks in provinces and cities to provide investment project evaluation, economic benefit evaluation, project data processing, project financing, investment project planning and social economic consultation.

As the foundation of the enterprise's future competitive advantage, project data analyst will change enterprise's decision, value creation and value realization way Enterprise customer grasps big data change, win development and new market. To deepen the training plan of large data talents, it is the most important task to cultivate the data technology innovation talents in the tide of science and technology innovation, such as large data.

(Responsible editor: The good of the Legacy)