Business intelligence essential skills, business intelligence Primer Learning

First, let's take a look at the decomposition of knowledge. Business intelligence, as its name implies, is business + intelligence. Commercial aspects include marketing, management and finance. Intelligent aspects include the production of reports, data analysis and data mining.

Why business intelligence is difficult to deploy is because business people with business skills do not understand intelligent it technology, and technicians only write code that cannot be analyzed by the business.

So, if you want to be a successful bier, you need to develop yourself comprehensively, learn more and ask more.

Next, let's look at what business intelligence needs to know.

1, data knowledge can not be less

First look at the process of business intelligence: Enterprise data from the source database through the ETL process into the Data warehouse, and then through the data modeling data warehouse data into a multidimensional cube model, on the basis of data query, multidimensional Analysis, data mining.

Data is the basis of business intelligence analysis, and data warehousing can be said to be a subject database. The establishment of the Data Warehouse is one of the most difficult in the business intelligence deployment, and the data integrity and correctness must be ensured when the database is built.

Data mining is based on the large data volume of the analysis through a variety of algorithms, is the business intelligence-assisted decision-making function of the technical support. According to the algorithm to classify the prediction, classification, clustering, association, and so on, most of them are packaged well, easy to use, common application only need to know how to read the data mining software to give a report, the key point is to tighten business understanding

2, the report will also be a little

The report is the original BI,BI is an advanced report. Before learning Bi, it is best to have the ideas and skills to make reports (can be produced according to business requirements)--to determine the purpose, select fields, aggregation dimensions, correlation analysis, etc.

3. Using statistics and logic skillfully

In business, if statistics are applied, it is possible to directly analyze the relationship between things, and because things often have causal logic relationships, experienced business people can accurately determine the importance of event impact factors, so as to design a better analysis process

4, algorithm skills to keep up with

A good business intelligence data analyst needs to know how to choose the algorithm for a particular data set, how to obtain a sample, what the algorithm needs to meet, and the ability to write a corresponding algorithm based on a specific problem

5, other knowledge to enrich

In addition to the professional skills of knowledge, spare time more than some related forum information network, grasp the industry dynamics, technological progress, science and technology news is also conducive to the injection of fresh ideas, analysis of the problem of the field of vision widened.

"For more information on business intelligence, business intelligence solutions and business intelligence software downloads, visit Finebi Business Intelligence official website www.finebi.com"

Business intelligence essential skills, business intelligence Primer Learning