The information about big data is overwhelming and dazzling. Although the information is very exciting, we have also seen the value behind big data, and many enterprises have chosen business intelligence BI products. Business intelligence can be divided into agile BI and traditional BI in use. From the name, agile BI is more powerful than traditional BI. Is this true?
Let's explore the data analysis mode of traditional BI and agile BI.
Tradition BI
In the process of analyzing big data, the traditional BI practice is that IT personnel model (and make secondary tables or play cubes) according to the analysis requirements in advance, summarize the data in advance, and business personnel view the analysis result report on the front end .
This practice is very mature and has been going on for many years, but there are some problems.
1. The reports viewed by business personnel are relatively static. The dimensions of analysis and the calculation methods of measures have been pre-set during modeling and cannot be changed. For example, if the sum or average is determined, if you want to change it to variance, you must go back and modify it. Model.
2. When analysis requirements change, business personnel cannot directly adjust the report, and IT personnel need to re-model or modify the existing analysis model, which takes a long time and takes a long time to respond.
The essential reason for these problems is that the previous technical architecture has insufficient computing power for massive data, and it is necessary to perform data operation and summary in advance through modeling, secondary tables, and cubes.
Agility BI
With the development and evolution of technology, the field of BI has ushered in the innovation of a new generation of agile BI. Take the BI tool FineBI as an example:
Based on big data processing technology, it can achieve second-level response to TB-PB level data. The data presentation of agile BI is the starting point, not the end point. After seeing the data, you can analyze it interactively, dig down deeply, and find the answer to the question.
The analysis report of agile BI allows non-IT colleagues to make it directly on the analysis platform. Not all analysis report requirements can be submitted to the IT department, which will seriously increase the workload of the IT department. Compared with traditional BI, the implementation and operation of agile BI is simpler. It can be said that it is BI that is used by business personnel.
Analysis and reporting requirements often require changes to the data layer, and IT departments are required to improve the data layer and business layer. Traditional BI platforms need one or two months to sort out the model. Agile BI does not require prior modeling, and can flexibly adjust analysis dimensions and report presentation during the analysis process. Demand changes can be responded to within one day, improving the insight and decision-making power of enterprises.
Different from the weight modeling and unified view of traditional BI, agile BI adopts the method of lightweight modeling and N views. The data can be directly connected to the analysis, and the business personnel can adjust the dimensions of the analysis and the calculation method of the measurement in real time. Greatly increase flexibility and truly communicate with data.
Presumably everyone will have a question. Since there is such a convenient way, why does traditional BI not adopt this architecture? As mentioned above, the traditional technical architecture does not introduce the current big data technology. In the face of massive data, the results cannot be displayed within a few seconds of the user's click. Therefore, the data must be summarized in advance through modeling to ensure that the analysis report can be displayed. time speed. The main premise of implementing agile BI is that the performance of data processing with the new architecture has been improved by dozens of times, and the technologies involved include distributed computing, in-memory computing, column storage, and in-library computing.
Therefore, agile BI can quickly allow enterprises to gain insight into the meaning and value of data through lower costs and shorter online cycles. Therefore, it is true in some ways that agile BI is more powerful than traditional BI.
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