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Business Intelligence in the Retail Industry


  In foreign countries, business intelligence analysis system as an effective tool for business and competition, the application in the retail industry is quite mature, it is very dependent on this scientific and effective means, foreign retail giants in the world have more and more business advantages.BI analysis system using business intelligence function BI (business intelligence), analysis of various data in the retail industry, to analyze the inner laws of retail business, so that the business operation management to the next level.

 

商业智能

 

  

Enterprises contain rich business skills and market laws in the process of operation, how to effectively use this valuable information for business operation has become an urgent desire and a real difficulty for retail enterprises. General retail information systems can only provide general analytical data, not three-dimensional, multi-angle and penetrating data, and cannot provide more potential and predictable business suggestions. Business intelligence BI systems accurately fill the inherent deficiencies in general retail analysis.

  Data analysis actions by business intelligence administrators typically take different perspectives and obtain different information. For example, when performing sales analysis, the most common data ingested for analysis is the key operational metrics such as sales, costs, input taxes, profits, and margins for a vibrant operating unit like a store at a given time.

  But operators often ask for more and more detailed data. The above data indicators should be provided with a point-in-time breakdown within a time interval (e.g. daily or hourly), taking into account single points, and including factors such as merchandise breakdown categories (e.g. large, medium and small categories, or even classification into items). This suggests that as the market becomes increasingly competitive, operators' work is no longer just a cursory data review, but also requires increasingly detailed data analysis, which also needs to be done in multiple ways, not just in a single direction.

  This is the inspiration of the operator in the analysis according to the needs of different situations and different ways of thinking analysis, from a different perspective of observation of data ingestion put forward different object-centered, sometimes jump, cross data nature, between categories of ingestion requirements, so that these data requirements are not only like the general analysis system ingestion, organized out of the workload, but also very convenient for analysis, some can not be integrated . Business intelligence BI will be these different observation perspectives or analysis of the object of different categories of attributes called "dimension" (for example, date dimension, region dimension, category dimension, etc.), this "dimension" can be divided into years, months, weeks and days. Location can be divided into company, branch, department and cabinet group, into large, medium, small, small, fine, series, etc. Business intelligence analysis in addition to the need to obtain and process the above data, but also need to deal with the general analysis of the work commonly used in the same period last year, the ring and other indicators, the general data analysis system seems to have been powerless.

 

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