How to understand "big data" in the age of big data

The first disciplines to propose the concept of "big data" were astronomy and genetics. The first two disciplines to introduce the concept of "Big Data" were "astronomy" and "genetics," which have relied on "massive data-based analysis" methods since their inception.

Big Data can be said to be the product of the combination of "computer" and "Internet", the computer realizes the "digitization" of data; the Internet realizes the "networking" of data. "Networking"; the combination of the two to give the "big data" vitality!

With the ubiquitous penetration of the Internet into our work and life as air, water, and electricity, coupled with the popularity of the mobile Internet, the Internet of Things, and wearable networking devices, new "data" is being generated at an exponential rate of acceleration. It is said that 90% of the world's "data" has been generated rapidly since the advent of the Internet.

However, putting aside the surface phenomenon of quantitative production and storage of data, we need to pay more attention to the qualitative changes brought about by the quantitative changes in data, which are manifested in the following three aspects:

1) Data Thinking

The big data era has brought us a brand-new "

The era of big data brings us a new way of thinking, a change in the way of thinking in the next generation to become the mainstay of social production will bring disruptive changes in the industry!

- Analyze comprehensive data rather than random sampling;

- Emphasize the complexity of the data, weakening the precision;

- Focus on the correlation of the data, rather than causality.

History of business change is by the "change of mindset" began, the old economic system and traditional business concepts facing the logic of the new business mindset, if the brain can not keep pace with the times, absorbed and transformed into a new mindset to adapt to the trend, through the new mindset to re-organize the organization's strategy, structure, culture and a variety of strategies, then the seeming organization will be able to achieve the same result, but the new mindset is not the same. and various strategies, then the seemingly strong body instead of becoming a liability for the enterprise to move forward. This new thinking subverted the giant case first occurred in the traditional field of information technology, and then penetrated into the traditional business field: Blackberry (Blackberry), Motorola, Nokia, Kodak, Yahoo! Cases abound!

Of course, the decline of these enterprises is not because of the lack of "data thinking", but they are "new Internet thinking" eliminated by the former giants. "Data thinking" is the latest thinking, its influence has not yet developed to cause the giants to collapse. But if you don't pay enough attention to it, you may be on the list of the next wave of fallen kingdoms!

2) Data Assets

In the era of big data, we need more comprehensive data to improve the accuracy of analysis (prediction), so we need more cheap, convenient and automatic data production tools. In addition to our use of the Internet virtual world browser, software intentionally or unintentionally left a variety of "personal information data", we are using cell phones, smart watches, smart bracelets, smart necklaces and other wearable digital products to produce data; our home routers, televisions, air conditioners, refrigerators, water dispensers, vacuum cleaners, smart toys, etc. are also becoming more and more intelligent and have networking capabilities, these household appliances in better serving us at the same time, but also in the production of a large amount of data; even we go out shopping, the merchant's router, the operator's WLAN and 3G, the ubiquitous camera electronic eye, the self-service screen of the department store, the bank's ATM, the gas station, and all over the various convenience stores of the credit card machine are all collecting and produce data.

In the Internet field, we like to say the word "entrance", "entrance" corresponds to the direct meaning of "traffic", and traffic in the Internet field means "money". In the Internet field, traffic means "money", and this kind of traffic realization may be advertisement, game, or e-commerce. In the era of big data, the word "entrance" has a deeper meaning, that is, "the source of data production", the user through an APP or hardware products to meet certain needs, but also will leave a series of related "The rational use of these data can make the enterprise that owns this part of the data obtain greater commercial interests! Therefore, in the era of "big data", companies that realize that "data is also an asset" have begun to lay out in various "sources of data production", which may be a WEB site or a website that solves the needs of the just-emerging The company has begun to lay out in each "source of data production", may be a WEB site to solve the needs of the just emerging, may be a simple tool APP, may also be a wearable digital products!

3)Data Realization

With "data assets", we need to "analyze" to explore the value of "assets", and then "realize" the value of "assets". "The company's main goal is to provide the best possible service to its customers, and to provide the best possible service to its customers in the future.

The core purpose of big data analytics is "prediction", based on massive amounts of data, and through various techniques and mathematical modeling related to "machine learning" to predict the likelihood of things happening and to take corresponding measures. Predicting stock prices, predicting airline ticket prices, predicting the flu, etc.

The "predicting the likelihood of things happening" continues down the line, where appropriate "interventions" can be made to steer things in the desired direction. For example, Amazon and all e-commerce, will be based on the user's preferences and spending power analysis to recommend "goods", to guide users to increase the amount of consumption; Google and other Internet giants will be through a variety of technological means to try to different users to show different ads, and called "precision marketing", and so on. Google and other Internet giants will also try to show different ads to different users through various technical means, and call it "precision marketing", which will increase the click-through rate (the company's revenue); online game companies will also adjust the design of the game levels and billing points through the analysis of player behavioral data in the operation project.

Finally, if you can't better understand the ability to predict the future in the era of "big data" after reading this paragraph, then I recommend you watch the hit American TV series "Suspect Tracker"!

The above is what I have shared with you about how to understand "big data" in the era of big data, and for more information, you can pay attention to the Global Green Ivy to share more dry goods