Usiness Intelligence Data Management Based On Corporate Information Factory

With the surge of the amount of data, people began to face the numerous problems of data management (DM). The problems highlight the importance of data management. Business Intelligence (BI) is a kind of data management technology which is to clean the useful date which is extracted from the enterprise operation system. The data merged into a data warehouse through extraction, transformation and load (the ETL process) to ensure the correctness of it. Then for the data analysis and processing with BI tools, the result presented to the managers for support of their decision-making.However, the theory and tool of BI has its limitations. And also the missing data which is made by limit of managers’sight will cause defects in the data services. Based on the BI of Corporate Information Factory will solve the above-mentioned issues.A universal applicability of BIDM will be put forward in this paper including the data ecosystem of decision-making (data feedback flow and data quality management framework), the data management policies of decision-making and the design of data management workflow.With the continuous development of science and technology, business intelligence technology is being continually updated. Data storage technology, databases, data warehouses, data marts, online analytical processing, data mining and information visualization techniques are moving forward accompanied by the development of BI theory step by step. So, the theory of Corporate Information Factory (CIF) and Business Intelligence (BI) and those techniques are complementary and influenced each other.The products of BIDM emerged in endlessly, and each has its own characteristics. But they are not perfect whether on the needs of practical application or research activities.With the help of data ecosystem build the framework of data quality, the data management policies and the working flow to provide an efficient and reliable data service of business intelligence decision-making which is based on CIF.This study attempts to solve the problem in the business intelligence data management practices from the theoretical level and the implementation level. Modern enterprises are facing increasingly fierce competition; the utility of data is becoming more and more important.Efficient and reliable data services provide effective helps for the development of enterprises in the fierce competition. And to achieve the expected goal:(1)active monitoring and data cleaning for all applications;(2) business units can share the responsibility of control data quality and data management;(3) with the help of credible data to achieve better results.This study summarizes and analysis the present situation of the existing BIDM products’ characteristics in market position and function, and also analysis and forecasts the development trend of BIDM while a brief introduction is made to introduce the large data management issues.