Big data concepts and applications

McKinsey was the first to propose the era of big data: "All industries and fields have been infiltrated by data. Currently, data has become a very important production factor. The processing and mining of big data will mean a new wave of increasing productivity and a wave of consumer surplus ."

The concept of big data was first defined by IBM and summarized the features of big data into four "v" (volume, diverse variety, value, and speed velocity ), or there are four features: first, the data volume is huge. The initial measurement unit of big data is at least P (1000 TB), E (1 million TB), or Z (1 billion TB). Second, there are many data types. For example, network logs, videos, images, and geographical location information. Third, low value density and high commercial value. Fourth, fast processing. This is essentially different from the traditional data mining technology.

Someone compared the data to a coal mine with energy. Coal is classified into coking coal, anthracite coal, fat coal, and lean coal. The mining costs of Open-pit coal mines and shenshan coal mines are different.Similarly, big data is not "big", but "useful ". The value content and mining cost are more important than the quantity.

Which traditional enterprises need big data services most? Let's give a few examples: 1) companies that provide products or services to a large number of consumers (Precision Marketing); 2) medium-long tail enterprises (service transformation) that adopt a small and beautiful model; 3) traditional Enterprises that must be transformed under Internet pressure (survival ).

There is also a prediction for the big data of Enterprises: as data gradually becomes an asset of enterprises, the data industry will develop to the supply chain model of traditional enterprises and eventually form a "data supply chain ". There are two notable phenomena here: 1) the importance of external data is increasingly greater than that of internal data. In the Internet era of interconnectivity, the internal data of a single enterprise is only a small volume compared with the Internet data; 2) companies that provide multi-link services, including data supply, data integration and processing, and data application, have obvious comprehensive competitive advantages.

Big data concepts and applications