Abstract: A method of dynamic customer demand forecasting. The inventive method first inputs forecast rules, including a forecast base rule and customer defined rules. The method then calculates forecast hit rates of the forecast rules. Each forecast hit rate corresponds to a forecast rule. Next, the method selects a highest hit rate from the forecast hit rates. Finally, the method designates the forecast rule corresponding to the highest hit rate as a target rule. Afterwards, the method further provides the target rule to a capacity allocation model for capacity allocation.

Abstract: A system of data management. The system includes a data verification module, a data notation module, and a data management module. The data verification module verifies the data records according to the data correlations and produces verification results, each of which corresponds to a data record. The data notation module notes the verification results in the corresponding data records. The data management module manages the data records according to the verification results.

Abstract: A symmetry database system and method for data processing. The system includes a data source, a data preparation platform, and a plurality of process engines. In one embodiment, the separated business rules and the data preparation process of each process engine are integrated into the data preparation platform to avoid problems of asymmetry. The process engines are further configured to fetch data from the symmetry data source through a data generator and generate results according to the data.