The application of BI in the retail industry has been quite mature in the retail industry as an effective tool for operation and competition, and is relied on this scientific and effective means. The foreign retail giants are located globally. Have a growing business advantage. Using the BI analysis system, you can analyze the various data of retail business using BI (Business Intelligent), the business intelligence function, dialyal the inherent law in the retail business, so that the business management of the company is truly entertained, on the stairs. I. Analysis of the crisis enterprise will generate massive information during the business process, which contains rich business skills and market rules. How to effectively use these valuable information, so that it is an urgent desire for retail enterprises to become a retail company. Realistic difficulties. Ordinary retail information is intelligent enough to provide general analysis data, unable to provide three-dimensional, multi-view, permeable data, and more unable to provide more potential, predictive business recommendations. The BI system is precisely for the general retail information system in the innate deficiencies. Managers analytical behaviors for data, usually from different perspectives to obtain different information. For example, when making sales analysis, the most common analysis data is generally this: in a particular time interval, collect the main business indicators of certain business units (such as branches) (such as sales, cost, input tax, Single and total data of gross profit, gross profit margin, cross-specific, sales ratio, etc., accordingly. But operators tend to provide more, finer data requirements. If the above data indicators are required to take into account the minute division in the time interval (such as subdivision to daily or every time), and take into account a single branch, including the product subdivision category (such as above, medium, small Classification, and even subtle items such as factors. This shows that with the increasingly fierce market competition, the operator's work is not limited to extensive data review, but it is necessary to get more fine data analysis, but these analytical industries are not limited to single-point one-way. Instead, it is necessary to do more. Since the operator is analyzed and the inspiration of the different situations in different situations, from different observation angles, the operation is proposed in different objects, sometimes even jumped, cross-data nature, category. Ingestion requirements, these data requirements are huge in the general analysis system, not only the workload of collected finishing is huge, but also analyzed is also very inconvenient, and some can't integrate together, there is a help of the BI analysis system. The attributes of different categories of different observations or analytical objects in BI are called "dimension, local dimension, category dimension, etc.), and this" dimension "is graded, such as the date can be divided into the year. Month, week, day; place can be divided into company, branches, departments and cabinets; categories can be divided into large, medium, small, small classes, series, etc. If you need to pick up and process similarly to the above data in the analysis, the general data analysis system is clearly unhappy. This is the analysis crisis that the author should say: the older is more and more love, and the IT department is increasingly competing! So after using BI? Everything will change completely. The BI analysis system exhibits various data through continuous, stereo dynamic tables, and combining these data, clusters, sorting, etc., bringing a new feeling that should be analyzed by the operating manager. Second, mysterious BI BI is a new analysis tool for processing and analyzing data using data warehouse technology. The working principle is mainly by extracting, cleaning, clustering, mining, predicting processing, etc. Display data. These data can visually display certain operating properties or market laws of analysts. In addition to displaying data through dynamic tables, BI can display through a colorful graphic, and can be demonstrated to graphics, and can make a variety of treatment such as stretching, block, rotation, and perspective to more intuitive visible. The way the data is displayed. Data can also be made for data.
If a particularly good sales data is green, the particularly poor sales data is expressed in red. In addition, data can be tracked. There is also a very good feature to set a boundary condition for mining work, finding internal contacts from messy data, Wal-Mart's famous beer and diaper story is produced. The main representative functions of the BI analysis system are: comprehensive analysis of pre-alarm, trend analysis, etc. It not only applies to the retail industry, but also widely used in financial, insurance and other industries. Third, the future is in the future, BI has a good application in the retail industry, and has a related index system theory; in China, the use of Bi is still in the primary stage, but itself has the flexibility and powerfulness, making It rapidly rises rapidly in the retail industry, showing high-speed rise. The most common application of BI is to assist the establishment of the information center and produce various work reports and analysis reports. Common analytics: sales analysis is mainly used to analyze various sales indicators (such as gross profit, gross profit margin, leveling ratios, import ratios, profitability, turnaround rate, year-on-year, year, etc.), Category, brand, date, time and other analytical dimensions, these analyzes can also use multi-stage drills to obtain considerable analysis of analytical ideas; at the same time, according to massive data, the prediction information, the alarm information and other analytical data; A new perspective is generated according to various sales indicators (such as the most common ABC classification table, commodity sensitive classification table, product profit classification table, etc.). These complex indicators are difficult to implement in the ordinary information database, although the boss knows them, but they can't get these indicators. Until the Bi technology appeared, these indicators have been reachened by managers and analysts. The main data of commodity analysis product analysis comes from sales data and commodity basic data. According to this, the analysis idea of analyzing the structure is the main line. The main analysis data is: the category structure, brand structure, price structure, gross profit structure, settlement mode structure, production site structure, etc., from the analysis of these data, the product has produced wide, commodity depth, commodity elimination rate, product introduction rate, Commodity replacement rate, key commodities, bestseller, low-selling goods, seasonal goods, etc. Customer analysts customer analysis mainly refers to the analysis of the purchase behavior of customer groups. For example, ancient can be divided into "rich" and "poor people". So what person is "rich", what person is "poor"? If companies have membership card, they can distinguish by membership registration; but if there is no membership card? This is to assume every amount of the ticket through the ticket. For example, each single amount is more than 100 yuan, we think it is "rich"; a customer whose amount is less than 100 yuan, we think it is a "poor". According to this, many other analytical ideas can be derived. Such as "rich" likes what kind of goods, "poor" like what kind of goods, "rich" to buy time and "poor" buy time; the business circle of the company is "rich" is still "poor" "More;" rich "to contribute to the mall or" poor ";" rich "likes to pay," the poor "likes to pay for it. In addition, there is also the number of guests of the business district, and the peak analysis in the business district, the analysis of the impact of the holiday economy on the enterprise.
