With the rapid development of digital economy and artificial intelligence , many companies have realized that "data is assets", and the value generated by data applications has gradually become prominent. If the value of big data is discovered after analysis, it will provide enterprises with functions such as precise marketing, omni-channel sales, and intelligent supply chains to help transform. At present, big data acquisition technology is to perform ETL operation on data, and to extract, convert and load the data, and finally mine the potential value of the data. Then provide the user with a solution or decision-making reference.
big data acquisition system, mainly divided into three categories: system log acquisition system, network data acquisition system, and database acquisition system. Any complete big data platform generally includes the following processes: data collection, data storage, data processing, and data display. Among them, data collection is essential for all data systems.
As big data is being paid more and more attention, data marketing is gradually being taken seriously. As the first batch of domestic industrial Internet companies, Dian is vigorously developing the big data industry, adapting to the country's craze for the development of the big data industry, and also seizing the trend of the big data industry. In view of the actual application of enterprise big data, Diandou provides enterprises with visual applications that integrate data collection, integration, aggregation, management, and service functions to realize full-process data tracking and control, solve the problems of difficulty in enterprise data analysis and reading, and provide intuitive, accurate, and multi-dimensional data analysis to fully support full-link marketing solutions.
As the industry continues to upgrade, customer data, commodity data, transaction data, etc., massive business data have become an important guarantee for enterprises to survive. While data brings value improvement to enterprises, it also puts forward performance and universal requirements.
dot big data system can collect, clean, classify and model data of major systems to comprehensively count business flow , logistics, finance, management and other data for enterprises, and provide enterprises with multi-dimensional data analysis such as capacity prediction, cost analysis, inventory supervision, employee performance, product sales, customer distribution, sales proportion, etc., supporting real-time data query, historical and contemporary data comparison, and through various intuitive display methods such as heat maps, pie charts, trend charts, etc., help enterprises improve their risk management capabilities and improve the decision-making speed and quality of enterprise management.
The purpose of industrial Internet is to reduce costs and increase efficiency, use data to produce value, and use value to promote change, which is the direction of industrial upgrading. Efficiency is the key to enterprise operations. The Spider Big Data System has built-in multiple tool products, such as drag-and-drop interface design , operation tools, intelligent data engines, etc., to meet various business needs and help enterprises efficiently solve problems such as daily operations, brand building, and user management.
Big data occupies an indispensable position in major modern industries. With the advent of the big data era, enterprises in all industries should master the ability to integrate data, explore the value behind data and formulate action programs. By doing these things, enterprises can benefit from data and promote the rapid development of enterprises.
