"Big Data" is currently a hot term, and everyone is talking about "Big Data". In the past, due to the lack of comprehensive and complete data, the value of big data itself was ignored, not achieving the value that should be reflected. Nowadays, all kinds of enterprises rely on big data and big data technology to maximize their benefits.
I. embodiment of big data analysis in life
For ordinary people, big data analysis is not mysterious. It can be used to solve a lot of confusions in life.
Does drinking pure water for a long time harm your health? All parties have different opinions. From the perspective of big data analysis, Americans have been drinking pure water for more than 40 years, and have not found any harm to the human body caused by drinking pure water for a long time. So you can rest assured to drink pure water! For example, is drinking cola harmful? Chinese media believe that drinking cola hurts body, nerves, stomach, kidney, and even cancer. But from the perspective of big data analysis, if Americans have been drinking cola for more than one hundred years and drink 10 billion bottles of cola, are people healthy? Therefore, from the perspective of big data analysis, drinking cola is harmless to the body. But it is not helpful.
Finally, let's use big data to analyze Chinese medicine. The effectiveness of traditional Chinese medicine is almost controversial in China. In fact, we can draw a conclusion by comparing the average life expectancy of China and the average life expectancy of foreign countries before the popularization of western medicine. After the popularization of western medicine, Chinese people have an additional treatment method than foreigners, but the cure rate and relief rate of various diseases are 1.4 billion. Chinese people do not have obvious advantages or even lag behind 5 billion foreigners! Therefore, from the perspective of big data, the effect of traditional Chinese medicine is not obvious.
2. Big Data Analysis Application Industry
Currently, big data analysis has been widely used in financial services, retail, healthcare/life sciences, law enforcement, telecommunications, energy and public utilities, digital media/Precision Marketing, transportation, and other industries. Including financial services (risk and fraud management, comprehensive customer analysis), law enforcement (real-time multi-mode supervision, network security monitoring), digital media/Precision Marketing (Real-Time advertising positioning, target customer group positioning, website analysis) the Application of big data analysis is mostly like ant financial's eagleeye System and the Precision Marketing and Pushing System under the micro-technology.
Iii. Specific Application of big data analysis in marketing
Next, let's talk about the role of big data analysis in the marketing field. Marketing Monitoring and evaluation: this is a field that is easily overlooked, because it involves specific tactical work.
In the future, most people will pay attention to the final effect of marketing results. For example, if a customer marketing product is built, the final conversion will be determined. However, there are many links that may affect user conversion. For example, contact conditions, such as attraction, such as consumption lagging. These need to rely on big data based on more accurate answers from customers. If you can obtain data to gain insight into the user's usage behavior in the entire related product, you can gain insight into the potential loss risks and whereabouts of users. For example, you will find that the original high-quality customers have suddenly become inactive for a period of time, which may be risky, but are you busy with transactions recently? Or is he in love? This depends on big data for insight. Users may be paying attention to or already buying competitor products during this period, which can provide greater marketing management value ......
Big Data Analysis is both beautiful and a forward direction. The big data era opens another era in which human society uses the value of data.
View the world from the perspective of big data analysis