BI data analysis tools, or business intelligence analysis tools, refer to tools that use a set of methods and technologies to prepare, present, and help analyze data. Convert the existing data in the enterprise into knowledge, so as to help the enterprise make wise business decisions.
Various graphical analysis charts such as the leadership cockpit look very beautiful at first glance. The report design is good-looking, and the data situation is intuitive and clear, which is very suitable for displaying the strength of the enterprise. But are BI tools just to make the data look better? of course not!
1. Work digitally
What kind of business does a relatively large-scale enterprise include? Take the manufacturing industry as an example. Internally, it involves raw material procurement and transportation, production and manufacturing processes, warehousing, etc., externally involves order sales, etc. In the traditional enterprise management model, warehousing, production departments, sales departments, etc. each have their own An independent system manages and categorizes data. For their respective departments, these systems are pragmatic and solve many internal data management problems. However, for the entire enterprise-level data analysis, these independent systems have led to data and information barriers between departments. Due to the different calibers of data analysis, enterprise management decision makers cannot analyze these data on the same platform to intuitively understand the comprehensive management and operation of the enterprise.
BI data analysis tools break this phenomenon. By opening up multiple system master data and transaction data, unified data analysis, and integrating data stored in each system, enterprises can conduct traceable data analysis and mining on the same analysis platform. , Realize the digitization of the business on the same platform.
2. Get a summary from the data in time
We often say that BI data analysis tools can help people grasp corporate data more intuitively, but in addition, BI data analysis tools can also enable management decision makers to quickly find and summarize problems, explore the primary and secondary factors that cause problems, and promote enterprises. Make scientific decisions with a thorough understanding of the data.
For example, when raw materials, processes, equipment, manpower and other production links and factors are digitized, and BI data analysis tools are used to achieve multi-dimensional intelligent visual analysis and mining, we can not only intuitively understand the production process and efficiency of each process and equipment With the help of multi-dimensional dynamic visual analysis function, intelligent drilling, screening analysis and linkage analysis to realize scanning data analysis, efficiently find out the factors that restrict productivity and improve production efficiency, and quickly discover the management and production in manufacturing Problem, find out the cause in time.
3. Enhance communication and collaboration among personnel
Since the business department and the job department of an enterprise are not independent of each other, they are more or less related in the daily management and operation of the enterprise. We sometimes find that there is a problem in department A, but the reason lies in department B. We need to Department A and Department B work together to solve this problem.
At this point, you can use the one-click sharing function to pass the report to Department B, and let the other party quickly understand the situation through intuitive data visualization reports and intelligent visualization analysis effects. Each department can conduct a more detailed and in-depth analysis of the cause of the problem, find the root cause of the problem, and prescribe the right medicine to solve the problem.
On the other hand, BI tools have powerful real-time analysis capabilities and support users to conduct self-service analysis at any time. Whether in departmental meetings, cross-regional online meetings, or at any time and any place, users can conduct self-service analysis through computers and mobile phones. , One-click to share the new report formed after self-service analysis with colleagues, exchange views with each other, and achieve the effect of concerted efforts.
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