"Data" in the Big Data age

From concept to business

In 2012, the big data was gradually accepted and concerned by Chinese industry, but it is widely believed that 2013 is China "year of Big Data", the next three years large data market will be a burst of growth trend. Sadie Consultant statistics show that 2012 China's large data market size of 450 million yuan, an increase of 40.6% per cent, and expected by 2016, large data industry will break through tens of billions of dollars.

Founded in 2006, Admaster is dedicated to providing data application services to advertisers through a technology-driven SaaS platform. At present, Admaster services in the FMCG, IT, automobiles and other industries 80% of the world's top 100 brands and a number of domestic well-known brands, accounting for more than 50% of the market share. At the same time, also in the promotion of industry development and change in continuous efforts.

"Three or four years ago, when the mobile phone just came out, we were doing across the multi-screen data application model, how to complete the cross-TV and PC, mobile phone and PC, mobile phone and TV across multiple screen marketing analysis and optimization?" like watching TV while playing mobile phones, will not reduce the awareness of television programs? How do consumers use multiple screen habits? Which screens are best at what time the brand is spread? related, we have done a lot of research, we are also the first in the country to achieve across multiple-screen evaluation and optimization of the data application company. The application of cross screen data is a part of Admaster data application, and the data application of Admaster mainly includes advertisement data, social media data, brand electric quotient data and the whole process data application service of analyzing and applying the front-end advertisement data, social media data and back-end brand electric quotient data.

I love big data.

Big data may be subversive to the traditional advertising and marketing industry.

Traditional advertising, first, can not optimize, the second can not control frequency, the third is relatively blind to the extensive delivery, rather than accurate delivery. Traditional media are also facing transformation. First, the traditional media to start digital, such as television, and secondly, a lot of traditional media, mainly from the content of the core, the reader may like what kind of topic, like what kind of news topics, they do. However, the precision of digital marketing is reflected in his start people-oriented, marketing methods from the content purchase into the target audience to buy, these can not leave the data support.

Similarly, the transformation of traditional media, their advertising marketing also need large data support. "Traditional media transformation is more prominent is Shanghai surging." By monitoring the public opinion on Weibo, it found that this would be a hot spot recently, so do a project to delve into the story behind it. In this way, people can be attracted back.

Small to "buy clothes at the most appropriate price and opportunity", big to "How to improve economic efficiency in important economic decisions", big data will tell you the best answer, "it provides a more convenient way of life, such as some big data optimization in logistics, to enable consumers to receive goods faster." For example, a shop, Jingdong, their logistics is a large data analysis of the optimal distribution scheme. ”

The penetration of large data is very strong. In essence, all walks of life are already in the data, such as telecoms is becoming the telecommunications data industry, finance into the financial data industry, medical industry has become the medical data industry ... This means that large data mining will become a required course in all walks of life.

Indeed, it would be too narrow-minded if we simply understood the value of large data as a more accurate way to push ads to users.

"With the human brain always like to ask ' why ' compared to the big data will tell you what ' is." For example, in winter, people are always told to remember hats and gloves, otherwise they will catch cold, which is the brain's thinking. But big data analysis will tell you that catching a cold may be a problem with a virus, which is not directly related to wearing gloves and hats. If you go to a restaurant and get sick the next day, the brain's thinking will soon be explained by the reasons why you might eat something bad, but from a statistical point of view, illness may be caused by shaking hands with bacteria. "If you have big data, you can slow your brain down, and you don't have to speculate about why and answer the results directly," he said. ”

The "Big Data" era has just begun, leaving people with a lot of room for imagination.