The Account Data Model

نویسندگان

  • Andrew Pletch
  • Chih-yang Tsai
  • Charles Matula
چکیده

A new data model is proposed using a traditional accounting approach to model an organization’s transactional data and extending this model to include not only financial information but also internal business process, learning and growth, and customer perspectives. It provides an organization with a single data model that supports both transactional and data warehousing needs. The model has a very small footprint and uses replication tables for data mining purposes. The model is generic so that changes in information requirements of the application do not imply the need to change the model itself. Implementations of the model can provide a uniform report generation environment for standard reports as well as OLAP and data mining activities. Implementations can include data used in query optimization strategies for applications such as association rule mining.

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تاریخ انتشار 2002