Some things about the Internet: Do you lack the media properties of large data?

Generally speaking of large data technology, there is no doubt that the large data definition of 4V, as well as structured, unstructured data processing, data mining, and high-performance parallel computing.

But when it comes to big data applications, it usually seems lean, why? Because we are all thinking about some application of "point", each one of the number of the application case, is not all appear to be more independent, in the business belongs to a certain point?

If we can put large data applications can abstract a large class, or even a segment of the industry, then we are no longer confused and wandering, we are no longer in the business model of confusion!

Summary of Attributes

Large data application methods (including traditional applications) are as follows:

1. Data statistics, results or to the decision-making level, or to the relevant departments to see, or to the public look;

2. Data icon display, including multidimensional statistics, data mining show, and the conclusion of the statement, to the decision-making level, or to the relevant departments to see, or to the public look;

3. Data mining conclusion, converted to the business language, recommended to people who are considered to need to see;

4. Data statistics or mining, conversion to alarm, intelligent reminder;

5. User search, according to search keywords + user information mining, give the search results;

6. The integrated school combines the above 2 or more ways.

Let's take a look at the application scenario summary:

1. Large data-owned companies or units to look at data or charts, and according to the data to discuss, decision-making;

2. Release the advantageous data to the public platform for the needs of the company's brand or marketing;

3. Internet Platform and user interaction of intelligent applications, such as Pan-recommended, pan-search;

4. User care, reminders, malicious users pull black, etc.

5. It system internal alarm, reminder;

6. The automatic answering procedure and the user simple question exchange;

7. The accurate forecast of each link of the industry chain, according to the forecast to enhance the whole industry chain decision benefit (including cooperation company).

From the above conclusion, there are two most obvious attributes of large data:

1. It technology attributes, hidden in IT systems, common in the internal use of enterprises;

2. Media properties, data release, dissemination, guidance, ancillary sales, brand, PR, etc.

How to use Media properties

The application of large data, regardless of technical talent, drive, mostly concentrated in the it nature of the company, in the IT technology attributes, is not much of a problem. But for the media properties, there is a big problem, as the saying goes, "butt decision head", if the large data technology platform to complete even if the work is done, then nature in the media properties on the very little effort, even do not make efforts.

The internet has innate media attributes, which is why in the Internet companies, large data landing more reason. However, there are limitations, after all, to raise the demand for large data products, operations, as well as large data analysts, the media's understanding of the extent of the property is not enough.

There are several characteristics of the media (if you have errors, please refer to the Professionals):

1. Medium, that is, what you want to disseminate, the conclusion of large data, analysis process, can be the content you want to spread;

2. Media, that is, there is a communication platform, traditional newspapers, magazines, to later radio, television, and then to the current Internet, mobile Internet;

3. Communication, namely timeliness, authenticity, guidance, and now the interaction of new media, two times of communication

Media mode:

1. Professional media platform spread, bat media products, social networking sites, news sites, etc.

2. From the media, including the official website or government trading platform, individuals from the media, etc.

3. Advertising position, no matter which platform, as long as there is a certain amount of traffic, can be advertising, through the purchase or exchange of communication between the way, the flow of liquidity;

4. The agent spreads, requests the third party media operation Company, uses afore-mentioned means proxy dissemination

The difference between general news dissemination and large data dissemination:

1. General news through the content collection, edit, become media, large data is through traditional content + large data statistics and mining, large data statistics and mining costs may be much higher, there are data source cost (data storage or buy data interface), data mining human cost (higher than traditional media human cost);

2. General news is disseminated to targeted groups through experience, while large data is transmitted to groups that may be needed through computation. The group effect that may be needed does not necessarily have a directional group effect. Because if the people in the targeted group get enough attractive products and promotions, they may immediately be converted to a potentially demanding population, from this point of view, large data at this time, if the medium is poor, it is likely to become a "negative" effect, Because the people you miss may be converted to a need;

3. General news No privacy risk, large data dissemination use strong, it is likely to lead to user concerns are "tracking", the effect is greatly compromised.

Conclusion

1. Access to High-value users and data is more important than just having data mining technology, otherwise the cost is too high;

2. The use of the media is more important than the technology platform that has the cow, otherwise only the relative accuracy does not have the absolute quantity;

3. The user experience is more accurate than the calculation, otherwise people are scared to use, talk about what precision.