After doing traditional industries for many years, can you jump into the big data industry?

Having been a traditional industry for many years, you can completely jump into the big data industry, and it is never too late to change careers.

Big data analysis and processing solutions

Scheme refinement

Every day, netizens in China generate huge amounts of data in real time through the interaction between people, people and platforms, and platforms. When these data are gathered together, we can get a series of valuable information such as netizens' current mood, behavior, concerns and interests, attribution, moving path, social relationship chain and so on.

The traces left by hundreds of millions of netizens in real time can truly reflect the present world. At the micro level, we can see what individuals are thinking and doing, and find the weak signal of public opinion in time. On the macro level, we can see what is happening in China, what will happen and why. Only in this way can we observe the overall situation of public opinion and watch the fire.

The original scattered and isolated information has relevance after analysis and mining, which stimulates wisdom perception, perceives users' real attitudes and needs, and assists the government in brand communication, product reputation and marketing analysis in smart cities and enterprises.

The so-called nip in the bud, nip in the bud, and the best way to deal with public opinion is to prevent public opinion events from happening. In addition to finding problems in time, big data can also help us predict the future. Specific to the public opinion service, in addition to the data collection and data analysis of public opinion cases, public opinion staff can continuously enhance the analysis and prediction of relevant public opinion information through big data, expand the service focus from simply collecting effective data to in-depth judgment of public opinion, and extract the laws and characteristics of relevant public opinion through the analysis of historical data of the same type of public opinion events and other big data that affect the evolution and change of public opinion.

Public opinion management in the era of big data is no longer limited to crisis resolution, but to sort out various conditions and factors that may arise from the crisis, as well as the key nodes and measurement indicators that turn negative information into public opinion events, so as to enhance our knowledge and understanding of similar public opinion events and help us predict the future more accurately.

Leading innovation management with big data. Whether it is the government's public affairs management or the business decision-making of enterprises, we must speak with data. When government departments introduce social norms and policies, using big data for analysis can avoid the subjectivity, one-sidedness and limitations brought by individual will, reduce the deviation caused by lack of data support and reduce the risk of decision-making. Through big data mining and analysis technology, social governance problems can be solved in a targeted manner; Provide refined services and management for different social groups. The government and enterprises should establish an open mechanism for sharing database resources, break the "information island" between departments and strengthen interactive feedback. Through the construction of related field databases, public opinion basic databases, etc. It is an extension of public opinion management in the era of big data to fully integrate external Internet data with users' own business data, and conduct correlation analysis of multidimensional data through data fusion, so as to improve the decision-making process and normalize data-driven social decision-making and scientific governance.

Solve the key

How to quickly find the needed information, collection is the most important part of big data value mining, and subsequent integration, analysis and management are all based on collection. The collection subsystem and analysis subsystem of Multi-Ruike public opinion data analysis station can classify the list of hot topics, the number of posts, the number of comments and the number of authors, automatically summarize the list of sensitive topics, and automatically extract keywords and various trend charts; Identify, analyze and classify news reports: title, source, release time, content, click volume, reviewer, comment content, number of comments, etc. Identify, analyze and classify forum reports: post title, speaker, release time, content, reply content, reply number, etc.

solution

Duoruike public opinion data analysis station system has a self-built independent big data center, and the server collects news, forums, Weibo and other Internet data 24 hours a day. It has data indexing, mining, analysis and storage capabilities of hundreds of billions of data, and supports public opinion analysis cloud services for users in government, enterprises, media, finance, public security and other industries. Therefore, the multi-user public opinion data analysis station system has natural advantages in this respect, and it is also the only way to solve the contradiction between the amount of information and the efficiency of information (valuable) acquisition. By using various data mining technologies, the system will produce irreplaceable effects and save huge human funds for market research.

Implementation income

The multi-user public opinion data analysis station system can monitor and track the massive behavior data generated by the research object on the Internet in real time, excavate and analyze, reveal the regular things, and put forward research conclusions and countermeasures.