If you're still crunching data with traditional graphical tools like EXCEL, and dismiss big data visualizations as little more than flashy embroidery, you're not really getting the power of big data and the trends of The Times. At present, big data visualization has been used in many industries, which has played a leading role in The Times. Correct understanding and use of big data visualization to improve work efficiency are the basic cognition and skills of citizens in the era of big data. Comtop Data Insight Platform, a self-service big data visualization tool, provides you with a wealth of icon effects to help you gain insight into the potential and value of big data.
As an effective means to solve this problem, big data visualization makes numbers easy to understand through visual means, helps people quickly and easily extract the meaning of data, and intuitively understand the pattern, trend and correlation of data display, which may be difficult to be found in other presentation methods. If you still want to adhere to your traditional cognition, the following 5 industries of the classic application of big data visualization, it is worth your careful observation and appreciation, big data visualization as a big data display window, how important and very charming. Here's how big data visualization works in five industries:
1. Government - To achieve scientific decision-making and efficient governance
The application of big data visualization enables the government to develop timely, efficient and accurate governance methods and decision-making management in a short time with the help of data, and carry out multi-directional layout and supervision. In addition, visualization of big data can also help the government predict social problems, explore potential demand, make scientific forecast, formulate relevant emergency early warning programs and plan development policies, etc., so as to continuously improve the government's governance capacity and service efficiency, and build a new service-oriented government.
2. Financial industry -- strengthen risk control and real-time supervision
In today's fierce competition of Internet finance, financial managers need to use big data for accurate and scientific management of enterprises to enhance competitiveness. Big data visualization can dynamically control daily business of financial companies in real time, effectively supervise data such as the number of customers and loan amount, and help companies realize real-time data monitoring and strengthen market supervision and management. Through multidimensional analysis and comparison of core data, the company is guided to scientifically adjust operation strategy, formulate development direction, and constantly improve the company's risk control and management ability and competitiveness.
3. Hospital -- Realize data management and medical prediction
Big data visualization can help hospitals integrate previously scattered and messy data, build a new medical management system model, and help hospital leaders quickly solve problems of concern, such as some outpatient data, drug data, disease data, and so on, carry out real-time follow-up and effectively assist decision-making; At the same time, doctors' data on patients can also be effectively used, which is conducive to predicting the recurrence rate and readmission rate, so that hospitals can plan and use resources more effectively. In addition, data visualization can also accelerate the ability to predict and analyze diseases such as disease prevention, epidemic prevention and control in clinical practice.
4. APP industry -- Conduct application analysis and operation
For some apps, data presentation and analysis are essential content, clear and precise display of analytical data can let users know their current concerns at a glance, can also make your app more intuitive and efficient, and allow users to interact with the data friendly. Eye-catching pie charts, bar charts, and line charts are used in a variety of mobile apps to present data in a convenient and non-intrusive mode, and provide users with necessary information in an efficient and concise manner.
5. E-commerce -- data mining and operation
For e-commerce enterprises, it is a daily necessity to carry out digital analysis and operation of commodities, and then carry out a series of sales strategies, which requires enterprises to have a sensitive sense of smell and accurate grasp of sales data mining.
At present, Alibaba, Jingdong and other e-commerce enterprises have adopted data visualization method for marketing on a large scale, which can help e-commerce enterprises integrate data across data sources and greatly improve the ability of data analysis. Through rapid data integration, successful positioning of customers with high loyalty, so as to develop precise marketing strategies; By mining data, forecasting and analyzing customers' shopping habits, we can learn about market changes, improve competitiveness and build an e-commerce carrier.
In addition to the above industries, OA, real estate, engineering construction and other industries can use big data visualization to visually present complex data in a variety of static and dynamic ways on PC and mobile terminals.
About Comtop big data insight platform
We live in the era of big data, the effective use of big data determines our future, and big data visualization tools are essential tools for you. Kangtopu Data Insight Platform, based on big data and Internet era design, it is a self-service big data visualization tool, provides you with rich icon effect display, help you insight into the potential and value of big data. Kangtopu data insight platform, support multiple reports on the page flexible layout, free combination, at a glance, quickly respond to user needs. It can also help non-professionals to easily build professional-level visual applications through graphical interfaces to meet the needs of various industries in daily business monitoring, scheduling, exhibition demonstration and other scenarios. For more details, please search "Comtop Data Insight Platform" on Baidu.
