I. Different backgrounds
In the second decade of the 21st century, along with the development of mobile Internet, cloud computing, big data, the Internet of Things and socialization technology, everything can be data, the world is gradually entering the stage of the data society, and enterprises have also stored a huge amount of data. In such a process, the positioning, efficiency and industrial structure that used to gain a competitive advantage cannot guarantee the competitive advantage of enterprises in the cruel business competition, Nokia, Sony, etc. are good examples. In this context, data-driven generation, the future of who can better data-driven enterprise production, operation, management, who may be in the brutal competition invincible.
Big data is earlier than data-driven generation, but are out of the same era, are in the Internet, mobile Internet, cloud computing, Internet of Things after. With the application of these technologies, the accumulation of massive amounts of data, individual data does not have any value, but the massive amount of data contains inestimable value, through mining, analysis, can be extracted from the corresponding value, and big data is to solve this type of problem and produce.
By the above analysis, we can see that the background and purpose of data-driven and big data are different, and we can't think that data-driven is big data.
Second, the connotation of different
Data-driven is a new mode of operation
In the traditional business model, the enterprise through the differentiation of strategic positioning, efficient management and low-cost advantage, can ensure that the enterprise in the business competition to occupy a favourable position, which can be achieved through the continuous optimization of the process, and in the era of the mobile Internet as well as the era of data society, these advantages can be achieved through the continuous optimization of the process, but in the mobile Internet era and is entering the era of the data society, these advantages can be realized. In the era of the mobile Internet and the data society, these advantages will not guarantee the competitive advantage of the enterprise, only the enterprise's data can guarantee the competitive advantage of the enterprise, that is to say, the enterprise can only be driven by data to ensure its competitive advantage.
In such an environment, the traditional business management model will change to data-centered, data-driven. Data-driven enterprise, which is actually a change of technology to the business world, to the business world. As President Wang Wenjing said, consumer electronics products have gone through a revolutionary journey from analog to digital. Similarly, business management will also shift from the existing model to a data-driven enterprise. Such a shift is, in fact, a new change facing global enterprises.
Big Data is a collective term for data and related technology tools
There is no uniform definition of Big Data, but Gartner describes it as a massive, high-growth, and diverse set of information assets that require new processing models to enable greater decision-making, insight discovery, and process optimization. According to Wikipedia, Big Data is a collection of data that cannot be captured, managed, or processed in an affordable timeframe with conventional software tools. From an industry perspective, this data, along with the tools, platforms, and analytics systems that capture it, is often referred to as "Big Data". Big Data is characterized by the 4Vs of Volume, VarIEty, Value, and VelocITy.
Data-driven is a new business model, while Big Data is a collective term for massive amounts of data and the tools to process it. The two are fundamentally different and cannot be generalized.
Data-driven and big data have a connection
While data-driven and big data have a lot of differences, we can know from the above description, data-driven and big data are not two completely different things, the two still have a certain connection. Big data is the basis of data-driven, and data-driven is the application of big data embodiment.
As mentioned earlier, data-driven such a business model is generated on the basis of big data, it needs to use the technical means of big data to analyze and process the massive amount of data on the enterprise, to dig out the value contained in these massive data, so as to guide the enterprise in production, sales, operation and management.
Similarly, if advanced technology is not used for production time, it is of little value to society, and the application of big data technology to a data-driven enterprise is a business model that reflects the value of its application.