In the past, what was pursued was the final result of big data analysis. Nowadays, the speed and accuracy of analysis have become the focus of data analysis. What is a BI data analysis system? What are the functions of the BI data analysis system? What is the significance and value of the BI data analysis system? I will explain them one by one.
What is BI data analysis system
The BI data analysis system is actually a kind of automated data management system. It can let everyone know the relevant data of the company’s operation anytime and anywhere, and it can also analyze various problems and conduct a comprehensive understanding. A huge data stream, as well as diversified data proposed by customers.
What are the functions of the BI data analysis system
The functional modules that the BI data analysis system should include, first of all are the function of obtaining data from a variety of data sources, data preprocessing (for example, cleaning, verification, etc.), data storage, data processing, data analysis, etc. (for example, predictive analysis) , Generate online usage suggestions, etc.), and finally present and visualize the summary and summarize the results.
Various data sources
Today's IT ecosystem requires analysis of data from various sources. These sources may be from online web applications, batch uploads or feeds, live streaming data, anything from industrial, handheld, home sensing, and so on.
Obviously, the data obtained from different data sources have different formats and use different protocols. For example, online web applications may use SOAP/XML format to send data via HTTP, feeds may come from CSV files, and other devices may use MQTT communication protocol.
Because the performance of these individual systems is not within the control of the big data system, and usually these systems are external applications, provided and maintained by third-party vendors or teams, so this article will not delve into these systems. Going in performance analysis.
data collection
The first step is to obtain data. This process includes analysis, verification, cleaning, conversion, deduplication, and then save it to a persistent device suitable for your company (hard disk, storage, cloud, etc.).
In the following chapters, this article will focus on some very important tips on how to obtain data. Please note that this article will not discuss the advantages and disadvantages of various data acquisition techniques.
Storing data
In the second step, once the data enters the big data system, is cleaned, and transformed into the required format, these processes will all be carried out when the data is stored in a suitable persistence layer.
Data processing and analysis
In the third step, part of the clean data in this stage is denormalized, including sorting the data of some related data sets, collecting data results within a specified time interval, executing machine learning algorithms, and predictive analysis Wait.
Data visualization and data display
The last step is to show the data results processed by different analysis algorithms. This step includes reading from the pre-calculated and summarized results (or other similar data sets) and displaying them in the form of a friendly interface or tables (charts, etc.). This facilitates the understanding of the data analysis results.
What is the significance and value of the BI data analysis system
Many people have a preliminary understanding of business intelligence, thinking it is a data management tool. In fact, the BI data analysis system is a multi-faceted service from data sorting, information management to decision support. In the development of enterprises, the scale of enterprises is getting bigger and bigger, the organization is getting more and more complicated, the market is more volatile, and the competition is more fierce. How to make correct, wise and timely big and small decisions will have an increasing impact on the survival of the organization . Therefore, what companies need is to extract information that has reference value for the decision-making process from the BI data ocean, so as to realize the transformation from data to information, from information to knowledge, and from knowledge to profit. In the final analysis, the ultimate meaning of a BI data analysis system is a decision support system.
If you are unclear about the BI data analysis system, you can directly consult the staff of Sematic Software. Sematic Software Smartbi is a domestic veteran BI manufacturer and an enterprise-level business intelligence application platform. After years of continuous development, it has condensed many years of business. Intelligent best practice experience integrates the functional requirements of data analysis and decision support in various industries, and the product and technical strength are beyond doubt. The operation is also very simple, basically just a mouse click, and the function is also very user-friendly. If you are interested, you can go to Sematic's official website to try it out.