2014, big data from "say" to "use"

Association letter. Network Data CEO Qinwen said that over the past year, the heat of "big data" has gone beyond the internet, and almost everyone who meets me will talk to me about big data, and every time, I seem to be pouring cold water on "big data". Entering the 2014, it has become urgent to clarify some problems about large data and plan and implement the big data application ideas as soon as possible.

Big Data looks beautiful, but it's a little far away from the internet as it really is. Yes, data can optimize the business, improve efficiency and improve utility, but misunderstanding of large data is likely to delay the process of applying large data, or even counterproductive.

about what is large data-concepts, definitions have more than n version, as a different perspective, to see what data is large data. I think that big data is made up of three kinds of data. User online interactive behavior data. Second, the user online behavior of the object, such as a variety of text, pictures, audio, video, symbols and other information. Third, the various equipment through the on-line way to the operation monitoring record. The current large data before the two main, the third category of data in the future high development of the Internet will be at any time to record, increasingly rich.

On the areas where big data will be the first to "blossom": what is now said to be the Internet-related large data, based on the relationship between audience and content. In other words, the study of large data at this stage is focused on the relationship between marketing theory and demand. It can be predicted that marketing is most likely to become a "big data" in the 2014 breakthrough. Large data means "big marketing", data-driven precision marketing engine will subvert the traditional marketing decision-making model and marketing implementation process, so that the unusually broad "big marketing" become more streamlined and more efficient.

About the current large data of the misunderstanding: first, the lack of faith data, do not really use data to make business decisions, but by the leadership will decide the business. The second is that the data needs to be solved is a technical problem. In fact, the problem of blocking large data at this stage often does not reach the technical level, but people, culture, process, values and other seemingly unrelated things. The establishment of scientific management concepts and decision-making mechanisms, clear what strategies, processes and methods to adopt, what kind of skills to develop, business logic, the field of large data applications, to solve problems, which will make "big data" landing and further insight into the cause and effect behind the facts, direction. Third, only to look at the data application results level, waiting for third-party companies or internal data departments to report results, make reports, such applications in large data environment can not achieve the overall business control and application.

Big data is not "concept" but ability--the ability to see business opportunities and values from endless data. Application of large data, the first to have data, in the business process to collect and accumulate process data, grasp and grasp the data. Many enterprises feel that they do not have the ability to collect data, in fact, it is now entirely available with the assistance of third parties and second party data service companies to carry out the whole process of the business process and a full sample record with affordable cost. The second is to standardize and classify the data to make the data available. Then, by constantly using the data, mining the relationship and value behind the data, the relationship between the data is richer and more perfect, so that the data application effect like a snowball.

On Weibo there is a joke about Big data: Big data is about sex, and everyone talks about it, but no one knows what to do and thinks everyone is doing it, so they have to declare that they are doing it. Although sharp, but very consistent with the current understanding of large data. 2014, is the big data must "ground gas" time, talk about the concept of large data, meaning, will just waste time.

Association letter • Network data as a third party Internet data Service provider. With independent research and development of the Super Large network data Service platform (DDMP), for all types of media sites, brand enterprises, public relations and advertising agencies, electric business sites and mobile apps, such as providing detailed professional data monitoring, analysis and consulting services. At the same time, to seek cooperation with the interactive marketing organizations, and rely on the strong data resources and data product development capabilities to help traditional enterprises improve network marketing efficiency, the large data to implement.