Secondly, you need to find out the business attributes of the data you have, find the users who need the data, and determine whether they need the data rigidly, and what value or improvement the research can bring to the users who use the data;
Lastly, you need to design a set of operation mode to make the data realizable.
Secondly, find the business properties of the data you have, find the users who need it, and determine whether their need for the data is rigid, and what value or improvements the research can bring to the users who are using the data.
The last step is to design a set of operating models to realize the data, including a one-time sale, which basically won't have much value; a better way is to dynamically update the data, provide correlation analysis between various data and target combinations, and provide continuous provision in accordance with the needs of different users, which will make money in the long run.
Most of the big data on the market is not really big data, it is just part of the data!
Question 2: How to use big data to make money in ways and means This depends on the specific situation, right, and do business or to choose more, I've seen a very distinctive incomparable wall paintings in foreign countries, the picture is beautiful, do not open a store, I do not know if there is no domestic, you can look for, and will absolutely replace the wallpaper
Question 3: How to make money through big data The people who have big data to consider this matter.
The analysis of big data, mining, found some in the case of small-scale data can not send a letter of something, this is the value, is money.
Question 4: How do big data companies make money? According to personal understanding, big data companies to make money is divided into three levels
1. direct sale of data: including desensitization of various transactions, operations, user information; Internet capture *** information
2. structured analysis of the data to sell: a variety of public opinion monitoring, advertising, communication analysis
3. according to the batch of structured information after data modeling:
The agency can probably do the first level.
Of course, there's AI in the back, but we haven't seen any companies making money on it yet.
Question 5: How to make money with big data People who have big data are the only ones considering this.
The analysis and mining of big data to find something that can not send a letter in the case of small-scale data, this is the value, is money.
Question six: big data is no longer mysterious but who knows how to make money with big data Make money with big data, the lowest level, is to sell data - through the trading platform to master the data directly sold for cash.
At a higher level, the analysis of the data, the formation of analysis reports, provided to the organization in need, which is the data visualization of cash.
At a higher level, such as precision marketing, through the mastery of the massive amount of user data for user profiling, to show them accurate ads, to collect the advertiser's money, which is indirectly realized with the data.
The highest level, drunkenness is not wine, through the data to find the right customers, and ultimately complete the sale of their own products, or contribute to the project, which is the commercial value of data realization.
Question 7: How to use big data to make money? To see if the news is updated quickly, you can do a news portal of your own
Question 8: Everyone is talking about big data, how to use big data to make money on the application of big data technology can be developed through the development of a variety of APP or system, website, etc. with the help of big data analysis, precision marketing, cost savings, digging to the potential user population and the consumer market, so as to realize the profitability of realizing
Question Nine: how to make money in the era of big data August 2015 Big data (big data), refers to the data that can not be captured, managed and processed with conventional software tools within an affordable time frame ***.
Some people compare data to a coal mine of energy. Coal is categorized by its nature as coking coal, anthracite, fat coal, and poor coal, and the cost of excavation is different for open-pit coal mines and deep-mountain coal mines. Similarly, big data is not "big" but "useful". The value content and mining cost are more important than the quantity. For many industries, how to utilize this large-scale data is the key to winning the competition.
The value of big data is reflected in the following aspects:
1) Enterprises that provide *** products or services to a large number of consumers can utilize big data to conduct precision marketing;
2) Middle and long-tailed enterprises that do small and beautiful modes of business can make use of big data to do service transformation;
3) Traditional enterprises that face the pressure of the Internet and must be transformed need to keep pace with the times to fully utilize the value of big data.
This is the first time I've seen a big data player in my life.
Question 10: How to use big data to make money can be more specific