Business Intelligence BI

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Some one say:

 

You can understand BI from the following four perspectives:
1. BI is not equal to Data Warehouse
2. BI is not equal to Data Mining
3. BI is only a presentation tool based on data warehouses and data mining.
4. BI is not a pure development tool
Analysis:
1. Data Warehouse is a tool that integrates all the data of an enterprise to achieve centralized storage and sharing of data across departments and companies. More practically, it is the integration of all business data, data warehouse must go through multiple processes, such as ODS, ETL, and DataMart. As the company develops, the data warehouse will be automatically expanded and expanded. In fact, it is based on the database at the bottom, and can extract data from multiple databases at most. However, I think that developing a data warehouse in a database can effectively improve the efficiency of data utilization, the so-called XML and other data may be the most suitable for document management.
2. Data Mining is a deep-level analysis tool based on the Data Warehouse. Without detailed data provided by the data warehouse, data mining is a waste or fantasy. It should be the technology on which data mining depends, A large amount of data is required, and the result of data mining can only be understood by experts. Therefore, it is an expert system and is not widely used.
3. BI, known as business intelligence, is capable of providing support for enterprise decision-making. In fact, it is exaggerated that it can truly play a role in displaying daily business data, more importantly, it can be displayed in an intuitive and effective manner, allowing users to observe data from multiple perspectives and understand the current situation of their businesses. Therefore, BI can be divided into three forms based on daily business needs: 1) OLAP: includes the company's PowerCube \ AnalysisService, which is mainly used to implement multi-dimensional data sets; 2) report tools: including BO \ Brio \ Cognose, here, BO can be said to be the leader in this industry; 3) dynamic queries based on OLAP and reports
4. BI includes Business and Intelligence. These two concepts are not fully understood by general software developers. Therefore, they are directly related to Business development, therefore, the development of BI needs to work with professional industry elites to provide their ideas. The demand analysts can convert it into business data models and associations before it can be handed over to developers for design, therefore, BI is inseparable from business personnel. It is simply something that can be developed, either by using a tool.

Another one say:

BI includes Business and Inteligence. none of the above can be provided by the software. a classic document of Data warehousing is: The MBA needs a PhD in SQL. the use of all OLAP software is to provide a convenient and intuitive interface for querying data.

And

 

Learning BI requires a lot of learning.
Learning the theory of Data Warehouse
First, I want to learn about ETL design. There are many ETL design tools, but they are different from each other, but they have the same concept.
Learning OLAP design is to design the dimensions and values of multi-dimensional datasets, and to learn the permission design and KPI design in depth.
Learn some data statistics and analysis methods

 

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