Abstract

As the application of the information system, the complicated financial business was firstly embedded in the OA system to support the whole food enterprise. The cash flow and financial management of one company has a seriously fluency in the competition when the modern social economy is developing. One single financial system which integrates the complexity financial business and its calculation can produce a visible and simplistic food enterprise management and provides the explicit data for the business. In the big data era, the food enterprise management faces many challenges, in this study we use the related data of finance sales that the ESL system collects and import it into SQL Server 2008 R2 database. Using the integration services, analysis services, reporting services integrated in SQL Server 2008 R2 database to transformation, analysis and display the retail data. Through this work it can help the food enterprise finance s to improve the use value of business data and achieve the efficient conversion of data into information, which can help food enterprise managers to make decisions about marketing.

Keywords:

Big data, business intelligence, food enterprise management,

References

1. Bughin, J., M. Chui and J. Manyika, 2010. Clouds, big data and smart assets: Ten tech-enabled business trends to watch. McKinsey Quart., 8: 4.
   
2. Hilbert, M. and P. Lopez, 2011. The world's technological capacity to store, communicate, and compute information. Science, 332(6025): 60-65.
   CrossRef    PMid:21310967    
3. Laahs, K., E. Mckenna and V.M. Vanamo, 2005. Microsoft SharePoint Technologies Planing, Design, and Implementation. Elsevier Digital Press, Amsterdam.
   
4. Laberge, R., 2012. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence. China Machine Press, Beijing, China.
   
5. Lu, Q., 2010. Analysis of the Financial Management under the Network Environment. Economic and Technological Cooperation Information.
   
6. Milton, M., 2010. Head First Data Analysis. Electronic Industry Press, Beijing, China.
   
7. Morris, G., 2000. E-Business and food enterprise: Transforming the MRPII/ER food enterprise.
   
8. Seliger, G., H. Karl and H. Weber, 2007. Cooperative design manufacturing and assembly of complex products. CIRP Ann-Manuf. Techn., 46(1): 67-70.
   
9. Wang, H. and S. Wang, 2008. A knowledge management approach to data mining process for business intelligence. Ind. Manage. Data Syst., 108(5).
   CrossRef    
10. Zhu, D.L., 2007. SQL Server 2005 Data Mining and Business Intelligence Complete Solution Scheme. Electronic Industry Press, Beijing, China.
    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.