The current status of the business intelligence industry. The traditional report system technology is quite mature, and the familiar Excel etc. have been widely used. However, with the increase in data and the increase in demand, the challenges faced by traditional reporting systems are also increasing.
- Too much data, too little information
The densely packed tables are packed with a lot of data. How many business people look at each data carefully? What information and trends do these data represent? The higher the level of leadership, the more concise information is needed.
- Difficult to analyze and understand various combinations interactively
The customized report is too rigid. For example, we can list the sales of different regions and products in one table, and the sales of customers in different regions and different age groups in another table. Business problems often require interactive analysis from multiple perspectives.
- Difficult to dig out potential rules
The report system often lists data information on the surface, but what rules are potentially contained in the depth of the massive data? What customers are the most valuable to us, and how closely related products are? The deeper the rules are for decision support The greater the value, but the harder it is to dig out.
- Difficult to trace history, data forms islands
There are many business systems and data exists in different places. Data that is too old (for example, data a year ago) is often backed up by the business system, which makes it very difficult for macro analysis and long-term historical analysis.
The current state of the business intelligence industry? With the development of the times, traditional reporting systems can no longer meet the increasing business needs, and companies are looking forward to new technologies. At present, the innovative technology of Smartbi report, the leader of domestic report system, can better meet the complex business needs. The era of data analysis and data mining is coming. It is worth noting that the purpose of data analysis and data mining systems is to bring us more decision support value, not to replace data reports. The report system still has its irreplaceable advantages, and will coexist with the data analysis and mining system for a long time.
The status quo of the business intelligence bi industry, the three analysis levels of business intelligence BI
The first level is report presentation. The so-called regular presentation refers to the use of graphical visualization methods such as histograms, pie charts, line charts, and two-dimensional tables to fully present the company’s daily business data (finance, supply chain, human resources, operations, etc.) Various analysis indicators can be viewed through dimensions (from the perspective of data) screening, association, jump, drill-through, etc. The business analysis charts are divided according to themes, and there is a certain logical relationship between the charts.
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The effect of drilling and linkage between Smartbi visualization charts
The content of these analysis presentations is basically carried out around the daily work of each business department. There are many business analysis content that may require complex calculation rules and need to obtain data from different systems. These are difficult to directly view from business system software. Arrived. This level of report analysis is a kind of presentation, allowing report users to have a clear, direct, and accurate understanding of daily business. Secondly, it frees them to manually perform summary analysis and drawing work through various functions through EXCEL.
The goal of reaching the first level is to present the daily operation and business situation of the enterprise intuitively and comprehensively through visual analysis reports. It can start from the group level, or from the business line or department.
The second level is the "abnormal" analysis of the data. Our explanation of the "abnormal" is: through the visualization of the report, we found that the situation reflected by some data indicators is beyond our daily empirical judgment, one is the positive "abnormal" we are pursuing, and the other is ours Try to avoid the negative "abnormal". Exploring the possible reasons through analysis methods such as related dimensions and indicators using drill-through and correlation.
In this level, the analysis of the visual report is to find the problem with the problem, through one or more dimensions and index chart construction, gradually formed a more reliable and solid analysis model. At this stage, users no longer passively accept the information reflected in the chart, but use "abnormal" data to locate a business problem behind it. Data and business begin to be connected at this level. The logic between data charts Stronger.
The third level is business modeling analysis. Business modeling analysis is usually proposed by users who are proficient in business, through reasonable modeling to find out possible problems in the business, reflect them, and finally return to the business, forming a process of decision-making and continuous optimization. Business modeling can be simple, can be composed of one or more charts, or complex, supported by one or more sets of data charts. In simple terms, business modeling can also be understood as a logical thinking model of business analysis, just using data and diagrams to effectively organize them to verify our logical judgment on business analysis.
Business modeling analysis is different from the comprehensive data presentation of the first layer and the abnormal analysis and passive analysis of the second layer. It is a deeper active design and exploratory analysis of business data. This level of analysis proposes to go deeper into the business, focusing on one business analysis scenario, and to have a deep enough understanding of the business.
Therefore, in order to achieve such a goal, it is actually necessary to solve business problems and find out the shortcomings in business links to improve business indicators. There are many business analysis models similar to this, but such analysis scenarios are difficult to propose by professional BI developers. Business analysis modeling needs to be promoted and led by professional business personnel and people with data analysis thinking awareness, and then assisted by appropriate data analysis, mining or statistical tools, so that the value of business intelligence BI can be fully utilized, and the value of data It will be fully reflected.
The Smartbi Mining data mining platform supports a variety of efficient and practical machine learning algorithms, including classification, regression, clustering, prediction, and correlation, and mature algorithms for machine learning in five categories. It contains a variety of trainable models: logistic regression, decision tree, random forest, naive Bayes, support vector machine, linear regression, K-means, DBSCAN, Gaussian mixture model. In addition to providing main algorithms and modeling functions, the Smartbi Mining data mining platform also provides essential data preprocessing functions, including field splitting, row filtering and mapping, column selection, random sampling, filtering null values, merging columns, Combine rows, JOIN, row selection, remove duplicate values, sort, increase sequence numbers, increase calculation fields, etc.
Current status of the business intelligence industry. Finally, see if our understanding of business intelligence BI is more reasonable: the appearance of business intelligence BI is the presentation of visual analysis reports, but its essence is still business problems and management problems. Business intelligence BI data analysis comes from business, and business problems (good or bad, in or out of experience) are discovered through data presentation and return to a process of business optimization and business improvement. This is the process of business intelligence BI The true connotation of data to information, decision-making from information, and value from decision-making. Data reporting, data analysis, and data mining are the three levels of business intelligence BI. We believe that the trend in the next few years is that more and more companies will enter the field of data analysis and data mining based on data reports. The decision support functions brought by business intelligence will bring us more and more obvious benefits.
About Smartbi
Smartbi builds a professional one-stop enterprise-level business intelligence BI platform for enterprises, and builds a highly robust and scalable BI analysis platform for enterprises through standard data warehouse modeling and front-end self-service visual analysis platform.