The core value and significance of big data

"Big data" is not another word for "data analytics"! Big data has new features such as scale, speed, diversity, and ubiquity. Specifically, it refers to the need to propose targeted solutions for the operation mode of an enterprise based on the rapid acquisition, processing, analysis, and extraction of valuable, massive, and diversified transactional and interactive data. Due to the popularity of the Internet of Things (IoT) and smart wearable brought about by the production line of ordinary blue-collar employees, front desk telephonists, and other low-ranking employees within the enterprise has also become a part of the content of the data that generates big data, the data generated in addition to social networks, websites, e-commerce sites, mailboxes in addition to smart phones, a variety of sensors, and the Internet of Things (IoT), smart wearable devices.

The most significant difference between big data marketing and traditional marketing is that big data can reach into all aspects of marketing, making it ubiquitous. Such as user preferences? The time period of surfing the Internet? The main browsing page of the Internet? Number of clicks on pages and products? The impact of user reviews on the website on him? Where does he share his experience of the product and the shopping process? These are all in-depth analysis of the user's online consumption and brand attention, which can directly affect the user's consumption tendency and other commercial effects.

Big data has revolutionized the way companies operate internally, and in the past, management was all about "what does the leader say?" Now it's become "the result of analyzing big data", which is a challenge to traditional leadership, and also pushes the definition of talent for enterprise management positions. Not only understand the business process, but also to become a data expert, cross-disciplinary requirements to change the past leadership is mainly reflected in the experience and past performance, now skilled in big data analysis tools, good use of big data analytics combined with the enterprise sales and operations management practices is the new requirements.

Of course, the role of big data on the business of a key factor that can not be avoided is the quality of the data, there is a saying that "garbage in, garbage out" refers to if the collection of a large number of garbage data will lead to out of the analysis of the results are meaningless garbage. In addition, whether the enterprise will form an isolated data silo, whether the data will be the achievement of some people or team within the enterprise new power, resulting in data can not be effectively shared in real time, these are factors that will hinder the effective application of big data in the enterprise.

And with the arrival of the big data era, the mining and utilization of the commercial value of big data has gradually become the focus of profits that industry players are competing for. According to industry insiders, e-commerce enterprises can explore personalized, individualized, precise and intelligent advertising and promotion services through the application of big data, creating a new business model that is more cost-effective than the existing forms of advertising and product promotion. At the same time, e-commerce enterprises can also find more and better ways to increase user stickiness, develop new products and services, and reduce operating costs by grasping big data. And there are two main qualifications for acquiring information to develop big data.

1, access to big data, first of all, need to make big data have an entrance, basically what we call bandwidth. If it is a huge amount of data then you need to hand over to companies with Internet access services (ISP license), or companies can also apply for their own ISP license to do Internet access services.

2, get big data need to have a server to store a lot of data, the influx of massive data then need massive storage space, general servers or perhaps can not carry such a large amount of data, the need to have a specialized server room. Server room a kind is outsourced to the Internet Data Center (IDC license) of the enterprise, but may not be a very good grasp of the data, the maintenance of the server room is not very much in place; the other is to apply for their own IDC license, the enterprise's own establishment of the data room.

After years of efforts, China has the world's largest number of Internet users and mobile Internet users, the world's largest production base of electronic information products, the world's most growing information consumption market, and fostered a number of internationally competitive enterprises. The huge user base and complete economic system has accumulated rich data resources, and the industrial Internet will further stimulate the potential of big data development, and constantly expand the information industry new blue ocean.

The significance or role of big data boils down to four words: assisted decision-making. The use of big data analysis, can summarize the experience, find the law, predict the trend, all of which can serve to assist decision-making. The more data information we have, the more scientific, precise and reasonable our decisions can be. From this perspective, it can also be said that the data itself does not produce value, big data must be combined with other specific fields and industries, can provide assistance to the enterprise decision-making before it has value. Many enterprises can use big data to improve management, decision-making level, and enhance economic efficiency.

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