Design And Implementation Of A Company’s Data Management System

Now the network time along with the development of electronic information technology, informatization level of each industry to continuously upgrade,resulting in many data resources. Many enterprises have recognized a keyconcept:waste is much higher than the effective data management costs ininvalid data management costs. In short, the enterprise relies on the data.Despite the industry, income scale, competition environment and other factors,each enterprise all must depend on the data to generate help enterprises tomake the effective decision information, data has become one of the most important reference for decision makers, so for the effective management ofan enterprise data resources is particularly important.With the rapid development of information construction, function more andmore complex business system, the system is more and more big differencesbetween different operational systems, due to the lack of unified coding standard, resulting in difficult to exchange and share data between each other.In order to solve the problem of data sharing, taking the company public datamodel as the basis model research, research of the public data model, dataservice interface design and combined with data integration case illustrates thedata integration process. Expression of the common data model to a relational database completely. Combined with the results of data center construction,with the data center as the data transfer station, the company public data model as the link information exchange, adopts the method of semantic modelof shielding systems of data in the technology, through the expansion of publicdata model, completes the mapping model between different systems, to achieve data sharing and exchange. Based on the analysis model, the use of effective data mining technique and algorithm analysis of historical data, single index changes, look for trends and business index of index future trend. The monographic study of Companies in a business domain or multiple businessdomain from the perspective of different monitoring. According to the servicemonitoring and analysis scenarios, using clustering, regression, decision tree,different data mining algorithm and the combination between them, to explore the index data rules, after the business rules through the demonstration,curing, promote the monitoring business, lifting the business insight.