The winning project will receive a maximum of 30 million yuan in financing support.

In October 25th, in 2014, the Sichuan youth innovation, entrepreneurship and fortune making competition and the China Postal Savings Bank (Sichuan competition) finals were held in Chengdu.

The prize winning project of the competition can get a financing support of up to 30 million yuan. Other quality projects can enjoy the coordination of entering youth entrepreneurship Park, matching business mentors, bidding for small loans, striving for preferential policies, promoting business incubator and project support.

18 participants in the province

The project team (individuals) competed fiercely, and the final selection of the one or two, three and so on, and one or two and three of the official venture group and the Tianfu youth entrepreneurship award were selected.

Among them, Southwest Jiao Tong University's "smart iron shoes and station anti rotation real-time monitoring and management system" competition projects and Yibin Chuan Hong Tea Group Co., Ltd. entries were awarded the intention to start business group and official.

The first prize.

Zhao Zhenxi, vice chairman of the provincial CPPCC and vice president Xu Xueming of China postal savings bank, attended the final prize presentation ceremony.

In the age of big data, entrepreneurship requires only a good idea.

"The creation of Ford Motor Co 100 years ago requires a lot of money. 20 years ago, creating Alibaba, providing users with all kinds of services, also needs many people and offices. In the age of big data, young people need a good idea to start a business."

Today, at the 2014 Pujiang innovation forum held in the east suburb Hotel, the author of the book "big data era" in China, Professor Victor Maier Schoen Berg of University of Oxford, suggests that young entrepreneurs can wear big data glasses, and understand the different value of their backs through boring and massive data, and the innovative opportunities contained in them are unimaginable.

Schoen and Berg devoted themselves to studying data science for more than ten years. It is one of the first scientists to see the trend of the development of the big data era. The book "big data era" set the stage for systematic research in this field.

His research found that from 1986 to 2010, the global data volume increased by 100 times, and the data quality was also improving.

Understanding the relationship between data and making data speak can help people understand the world better.

As long as we have distinctive and innovative ideas to serve the public, dig and analyze big data, and find the potential significance of ordinary data, we will find that big data business costs thousands of dollars compared with previous entrepreneurs.

"In the United States, big data are often used by small companies, including venture capital companies with only a few people.

For example, a computer scientist founded the multi - link company.

A smartphone application helps people learn foreign languages.

He collected data from almost all English learners, and found that people in different countries had different English learning methods and often used bad methods.

Through data analysis, we can help people find more effective learning methods.

Entrepreneurs use cloud computing services, which do not require a high cost and do not need to build a manufacturing base. There is no need to build factories or build large-scale databases like Google databases. "

Schoenberg takes this as an example to illustrate that in the era of big data, people are looking for innovative opportunities. The most important thing is data collection and analysis ability, and good ideas are found from the data.

Similarly, for big companies, the value of data is below the iceberg, invisible under the sea.

Therefore, the data must be repeated over and over again, from a different perspective, the past garbage data can turn waste into treasure.

"For example, a large aircraft engine manufacturer in the United States has lost data on vibration, heat and other data recorded by many sensors in aircraft engines in the past.

Later, they used these data repeatedly, using data to predict which parts of the aircraft engine will be malfunctioning, which parts will soon have problems, and repair or replace them in advance.

Today, the service revenue has accounted for 17% of its revenue. "

Big data is in the hands of big companies, if not willing to share what? In Schoen and Berg's view, this is a great opportunity for innovation, which can be communicated to large companies by third party platform companies or start-up companies. He has cited a case of a small business in the United States that does discount services for air tickets.

"Obviously, the major airlines in the United States will not cooperate to build a website to publish their ticket price information.

A small business has found business opportunities, negotiating with these giants separately, paying only 1000 US dollars per month for data usage fees, and then developing reasonable revenue sharing to persuade big companies to provide their own ticket price information.