Three main sources of big data

Three main sources of big data

1. Enterprise information system

Enterprise information system stores high value density core business data. Since the 1960s, information technology has accelerated its application in the industrial field, forming enterprise information systems such as product life cycle management (PLM), enterprise resource planning (ERP), supply chain management (SCM), and customer relationship management (CRM). The product research and development data, production and manufacturing data, logistics supply data and customer service data accumulated in these systems exist within the enterprise or industrial chain and are traditional data assets in the industrial field.

2. Equipment Internet of Things

In recent years, Internet of Things technology has developed rapidly. Equipment Internet of Things has become a new and fastest-growing source of industrial big data. It automatically collects production equipment and delivery data in real time. Product status and operating condition data. On the one hand, IoT data from production equipment such as machine tools provides a real-time data basis for smart factory production scheduling, quality control and performance management; on the other hand, industrial big data (in a narrow sense) proposed by General Electric Company in the United States in 2012 refers specifically to equipment Large-scale time series data collected by sensors during use, including equipment status parameters, working load and operating environment information, can help users improve equipment operation efficiency and expand manufacturing services.

3. Enterprise external Internet

# Currently the Internet is deeply integrated with industry, and the enterprise external Internet has become a source of industrial big data that cannot be ignored. At the beginning of this century, Japanese companies began to use Internet data analysis to obtain user product reviews. Today, Xiaomi mobile phones use social media data to successfully implement product innovation and research and development. In addition, there is a large amount of "cross-border" data on the external Internet, such as meteorological data that affects equipment operations, macroeconomic data that affects product market forecasts, and environmental regulatory data that affects corporate production costs...

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