With the continuous expansion of the operation scale of a sporting goods company group, the construction of informatization is also deepening. From the POS system to the ERP system, from the MAIL system to the OA system, every work of the entire group is inseparable from the information system. It can be said that it is the pioneer of information construction in the industry. However, with the increasing number of information systems, there are also emerging problems, such as information islands and the idleness of a large amount of historical data. How to integrate the data of multiple information systems? How to distill a large amount of idle historical data into knowledge? It has become an important topic on the desk of the group's management and IT department.
FanRuan FineBI combined its many years of experience in the BI industry to propose a complete solution to the above problems. The core idea of its solution is "one platform, two unification, three levels, four improvements", namely:
One platform: build a unified data analysis platform;
Two unifications: unified data specification and unified report analysis specification;
Three levels: the basic business layer conducts independent analysis and rapid reporting, the middle management layer summarizes early warnings and handles them in a timely manner, and the top decision-making layer controls the scientific decision-making globally;
Four improvements: independent analysis and rapid reporting by the basic business layer, timely processing of early warnings by the middle management layer, and scientific decision-making by the top decision-making layer.
Around these core ideas, the group finally built powerful solutions for data mining, information analysis and collation, data management, etc., to help the group sort out and formulate a complete reporting system, formulate competitive analysis modes and models for it, and make full use of the current situation. With information resources, various business departments can realize auxiliary decision-making for core businesses such as sales, product planning, finance, and inventory.
In this business intelligence BI system, we are divided into the following modules:
1. Topics of advanced comprehensive analysis: the overall growth of the sales system this year, the overall store efficiency (north and south regions), the overall growth level of regional retail, the ordering situation of distribution business in some regions, the ordering situation of retail subsidiaries in different regions, and the gap between the per capita efficiency and competing products, etc. ;
2. Sales and performance kanban analysis: overall analysis of new product sales, comparative analysis of new product sales over the same period, sales-ordering comparative analysis of various product categories, cross-analysis _ analysis by each analysis dimension, sales ranking analysis, etc.;
3. Topics of order situation analysis: overall order situation, comparison of overall planning and actual orders of various indicators, comparative analysis of order situation over the same period, cross analysis _ analysis by various analysis dimensions, order ranking analysis, etc.;
4. Themes of customer analysis: Top customers ordering situation by region, customer level and region status, VIP customer analysis, etc.;
5. Production and inventory analysis topics: product inventory analysis, product inventory time analysis in warehouses, channel inventory analysis, etc.;
6. Financial and KPI analysis topics: overall revenue, overall profit, overall expenses, accounts receivable, retail company indicator analysis, etc.;
In each analysis theme, we give full play to the advantages of FineBI's business personnel in making reports. People at all levels can drag and drop reports for analysis. Common and typical later stages are included in the analysis theme to realize knowledge sharing.
Overall, our goals for system construction can be summarized as follows:
1. Through timely early warning and tracking of information, with key and effective information, it provides decision makers with a more concise monitoring capability, so as to improve management efficiency and prevent risks caused by information blocking and dead ends.
2. Through information association, using model solidification management specifications as a means, and information-guided data analysis as a method, provide decision-makers with a strong decision-making basis.
3. Through the comprehensive information of finance, production, sales and procurement, it provides effective support for the decision-makers' comprehensive management balance.
4. Through the construction of data warehouse, establish the foundation of multi-dimensional analysis for enterprises; realize flexible combination query and analysis according to the analysis dimension.
5. With the help of FineBI business intelligence tool, the monitoring of top-level summary data to detailed data query and analysis can be realized; the analysis will be changed from summary to detail, from macro to micro, to improve the timeliness and accuracy of enterprise analysis.
6. Through the establishment of analysis themes and models, provide decision-making and predictable analysis models for enterprise decision-making, classify the models to form various analysis themes, and provide systematic analysis methods and ideas for enterprises in analysis and decision-making.
7. In the process of application, a set of standard data information specification is gradually formed.