The low quality of data in information systems poses enormous risks to business operations and decision making. In this paper, a single-period resource allocation problem for controlling the information system's data quality problem is considered. We develop a Data-Quality-Petri net to capture the process through which data quality problem generates, propagates, and accumulates in the information system. The net considers not only the factors leading to the production of the data quality problem by the data operation nodes and the data flow structure, but also the data transfer ratio of the nodes. Then, we propose a nonlinear programming optimization model with control resource constraints. The result of the model provides an optimal strategy to allocate resources for minimizing the expected data quality problem of an information system. Further, we examine the impact of the data flow structure on optimal resource allocation. The result shows that the optimal resource input level for a data operation node is proportional to its potential for downstream propagation. A warehouse management system of an e-commerce company is utilized to illustrate the model. Our study provides a method for data managers to control the information system's data quality problem by employing a process perspective.

信息系统中数据质量低下给业务运营和决策带来巨大风险。本文考虑了控制信息系统数据质量问题的单周期资源分配问题。我们开发了一个Data-Quality-Petri网络，以捕获数据质量问题在信息系统中生成，传播和累积的过程。网络不仅考虑导致数据操作节点和数据流结构产生数据质量问题的因素，而且考虑节点的数据传输率。然后，提出了具有控制资源约束的非线性规划优化模型。该模型的结果提供了一种优化的策略来分配资源，以最小化信息系统的预期数据质量问题。此外，我们研究了数据流结构对最佳资源分配的影响。结果表明，数据操作节点的最佳资源输入级别与其在下游传播的潜力成正比。利用电子商务公司的仓库管理系统对该模型进行了说明。我们的研究为数据管理者提供了一种从过程角度来控制信息系统的数据质量问题的方法。