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The use of big data's Analysis tool BI

2025-01-14 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article mainly introduces "the use of big data analysis tool BI". In the daily operation, I believe many people have doubts about the use of big data analysis tool BI. The editor consulted all kinds of data and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about "the use of big data analysis tool BI". Next, please follow the editor to study!

Big data analysis tool BI is a complete set of solutions for enterprise data management, which is used to effectively integrate the existing data in the enterprise, provide decision-making basis quickly and accurately, help enterprises to make wise business decisions and solve enterprise management problems.

Application of big data Analysis tool BI

Communication big data itinerary card

The outbreak of COVID-19 's epidemic has had a great impact on people's lives. Until now, the haze of the epidemic has not dissipated, so epidemic prevention work should not be relaxed. Using big data to monitor everyone's trajectory is a very necessary measure for epidemic prevention and control. When we go in and out of public places such as residential areas, enterprise parks, shopping malls, supermarkets, airports and stations, we will scan a QR code of "Communication big data itinerary Card" with our mobile phone. by declaring the itinerary in the information code service, you can query and prove my visit place for nearly 14 days.

Big data can accurately identify whether users have been to the epidemic risk area, and can trace the relevant contacts of infected people, effectively support the accurate prevention and control of the epidemic, which is a typical application of big data in epidemic prevention and control.

So, what is big data?

With the global digitization, broadband network and the application of the Internet in various industries, the amount of data accumulated is getting larger and larger. The huge amount of data that we are difficult to collect and use in a short time is big data. Through big data analysis, we can obtain a lot of intelligent, in-depth and valuable information, and provide decision-making support, which can bring efficient, convenient and accurate services for our production and life, operation and management, social governance, livelihood services and other aspects.

Big data's application in the scene of fighting the epidemic, in addition to the "communication big data itinerary card" just mentioned, it is also reflected in remote consultation, contactless rapid inspection, intelligent voice assistant, epidemic dynamics and early warning, improving the efficiency of medical material supply, accurate docking of material supply and demand information, and the development of "non-contact" service mode. At present, big data analysis has become a trend, and it is widely used in various industries.

01. Big data supports the construction of a smart city

With the acceleration of global urbanization, urban diseases such as environmental pollution and traffic congestion are coming, and urban development is facing great challenges. In order to deal with these problems, all countries unanimously take the smart city construction as the starting point to solve the problem. Big data's foothold in the smart city is to provide strong decision-making support for intelligent transportation, intelligent medical care, intelligent life and other fields of the smart city, and to govern the city scientifically.

In the intelligent transportation system, big data can effectively alleviate traffic congestion and respond to emergencies quickly through the real-time mining of a large number of traffic information such as roads, vehicles, weather, pedestrians and so on. Provide scientific decision-making basis for the benign operation of urban traffic. In the intelligent security system, big data can discover man-made or natural disasters and terrorist incidents in time through information mining such as safe city, intelligent traffic management, environmental protection, transportation monitoring of dangerous chemicals, and food safety monitoring. Improve emergency handling capacity and safety prevention capabilities. In the intelligent urban management system, big data realizes real-time monitoring and long-term management optimization of urban management through real-time collection, real-time processing and in-depth mining of a large number of monitoring data obtained from different time periods, different regions and different departments.

02. Big data serves e-commerce

Big data's application in the e-commerce industry is mainly in precision marketing and personalized service.

The core of marketing supported by big data is to let the business of the enterprise be pushed to the users who need the business at the right time, through the right carrier and in the right way. Internet enterprises use big data technology to collect all kinds of data about customers, and establish "user portraits" through big data analysis to abstractly describe the full picture of a user's information, so as to carry out accurate marketing and advertising for users.

With the continuous expansion of the scale of e-commerce and the rapid growth of the number and types of goods, customers need to spend a lot of time to find the goods they want to buy. Personalized recommendation system analyzes the behavior of users, including feedback, purchase records and social data, to analyze and mine the correlation between customers and goods, so as to find users' personalized needs, interests, and so on. then recommend the information and products that users are interested in to users. Personalized recommendation system makes commodity recommendation according to users' characteristics and interests, which can effectively improve the service ability of e-commerce system and retain customers.

03. Big data helps the digital transformation of enterprises

In recent years, with the rise of digital transformation, big data has become the main driving force to improve the level of enterprise management. Digital enterprise has three characteristics: interconnection, fine and intelligence. from the point of view of data, it is the process of producing big data, using big data and mining big data, and obtains insights through real-time analysis of a large amount of structured and unstructured data. promote the digitization of enterprise workflow and the intelligence of production line. In addition, big data can also help enterprises better understand customer preferences and behavior, so as to create more personalized relevant experiences, and introduce insight-based products and services to expand revenue and enhance and extend the enterprise value chain.

The key to the successful application of big data lies in the deep integration with the daily operation of the enterprise. because many enterprises cover a wide range of business, complex information systems, many kinds of on-site equipment in the workshop, and various forms of isolated information islands, enterprises are required to build a modular but cohesive digital platform and use big data collected from various sources as the driving force for analysis.

At present, big data's analysis tool BI (BusinessIntelligence, business intelligence) is widely used in enterprises. BI is a complete set of solutions for enterprise data management, which is used to effectively integrate the existing data in the enterprise, provide decision-making basis quickly and accurately, help enterprises to make wise business decisions, and solve enterprise management problems. In addition, BI can also generate a variety of analysis and forecast reports, KPI data, to facilitate senior managers to timely understand the enterprise's performance, market, R & D, manufacturing and other aspects of the information needed.

Provide BI, data analysis, data visualization, big data and other aspects of consultation and practical information, open up a new concept of BI, so that data analysis has really become a meaningful insight.

At this point, the study of "the use of big data's analysis tool BI" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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