[Example analysis] A cement enterprise applies business intelligence to improve management efficiency

After a large cement company successfully implemented the ERM project, the systems of finance, sales, procurement, inventory, quality, production scheduling, raw material entering the factory, product leaving the factory, OA, CRM and other systems were running well, contributing to the company's management improvement and efficiency improvement. made a greater contribution. With the leap-forward development of the company, the company's management has gradually shifted from a single company management model to a group management model. How to achieve scientific management under the new management model has become an important issue faced by the group management.

In terms of financial management, the five production bases have established independent information systems and accumulated a large amount of first-hand production and operation data. Therefore, how to carry out multi-angle and multi-level analysis on the data of the five production bases, discover the advantages and weak links in the company's production and operation, think about the company's operation status and development trend from a global and systematic perspective, and explore the hidden data hidden in the data. It is an urgent problem that the company needs to solve at the management level. After research, analysis and demonstration, the company finally decided to implement a business intelligence BI (Business Intelligence) project. In accordance with the principles of overall planning and step-by-step implementation, with finance as a breakthrough, a business intelligence BI system for all departments and five production bases of the company was established. Enhance the ability to analyze and mine data resources, and improve the company's scientific management level.

　　Because the financial system has a good informatization foundation, and a group management model has been formed. Therefore, the company intends to use finance as a breakthrough to establish a business intelligence BI system based on data warehouses for all departments and five production bases of the company. The main function is to use the basic data, budget data, details and business data of the five production bases to establish a data warehouse system, based on financial analysis and management needs, to realize an intelligent analysis system serving leaders and managers at all levels of the company.

Based on such management requirements, the solutions provided by FineBI are adopted:

1. Automatically extract the first-hand business data, budget data and other data required by the BI system for each production base.
2. After the data is transformed, it is imported into the FineCube multidimensional database.
3.  The data is comprehensively processed by the system to form a multi-level and multi-dimensional final analysis result. Company leaders and managers at all levels can quickly and accurately analyze the company's production and operation data in a timely and effective manner to provide a scientific basis for decision-making.

      At present, through such a system, the company has basically achieved the following major goals:

    1. Financial data integration       of the five production bases The integration of the financial and budgetary cost data of the five production bases has been unified. The financial business history and real-time data of each production base are automatically cleaned and loaded into the cube every day, and the data is automatically loaded every month.      2. Greatly reduce the workload of report design.       With the FineReport report tool, using the rich chart styles and multi-dimensional analysis of the BI system, the workload of report design staff is greatly reduced.      3. Simplify complex calculations and shorten query time        The BI system adopts the advanced concept of ad hoc query, which makes up for the shortage of traditional manual calculation and greatly shortens the response time.      4. Reduce the load of the business system       Most of the query and analysis work can be carried out on the BI system, which reduces the server load and improves the stability.      5. Provide correct decision-making information       . Multi-dimensional analysis of multi-business data can detect problems and potential value laws in time, assist the leadership to make correct decisions, and improve the competitiveness of the enterprise itself.

 

      In short, the deployment of the FineBI system integrates all the data required for financial analysis. Financial personnel can use the BI system to analyze financial data quickly, efficiently, and in-depth, and devote more energy to mining the deep rules hidden in these data. Discover the value of data and better guide financial work.