...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Information visualization >Business process impact visualization and anomaly detection
【24h】

Business process impact visualization and anomaly detection

机译：业务流程影响可视化和异常检测

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Business operations involve many factors and relationships and are modeled as complex business process workflows. The execution of these business processes generates vast volumes of complex data. The operational data are instances of the process flow, taking different paths through the process. The goal is to use the complex information to analyze and improve operations and to optimize the process flow. In this paper, we introduce a new visualization technique, called Vislmpact that turns raw operational business data into valuable information. Vislmpact reduces data complexity by analyzing operational data and abstracting the most critical factors, called impact factors, which influence business operations. The analysis may identify single nodes of the business flow graph as important factors but it may also determine aggregations of nodes to be important. Moreover, the analysis may find that single nodes have certain data values associated with them which have an influence on some business metrics or resource usage parameters. The impact factors are presented as nodes in a symmetric circular graph, providing insight into core business operations and relationships. A cause-effect mechanism is built in to determine 'good' and 'bad' operational behavior and to take action accordingly. We have applied Vislmpact to real-world applications, fraud analysis and service contract analysis, to show the power of Vislmpact for finding relationships among the most important impact factors and for immediate identification of anomalies. The Vislmpact system provides a highly interactive interface including drilldown capabilities down to transaction levels to allow multilevel views of business dynamics.
机译：业务操作涉及许多因素和关系，并被建模为复杂的业务流程工作流。这些业务流程的执行会生成大量复杂数据。运营数据是流程的实例，采用不同的流程路径。目标是使用复杂的信息来分析和改善操作并优化流程。在本文中，我们介绍了一种称为Vislmpact的新可视化技术，该技术可将原始业务数据转换为有价值的信息。 Vislmpact通过分析运营数据并抽象化影响业务运营的最关键因素（称为影响因素）来降低数据复杂性。该分析可以将业务流程图的单个节点标识为重要因素，但也可以确定节点的聚合很重要。此外，分析可能会发现单个节点具有与之关联的某些数据值，这些数据值会对某些业务指标或资源使用参数产生影响。影响因子以对称圆图中的节点形式表示，从而提供对核心业务运营和关系的洞察力。内置因果机制来确定“良好”和“不良”操作行为并采取相应的措施。我们已将Vislmpact应用于实际应用程序，欺诈分析和服务合同分析，以显示Vislmpact在最重要的影响因素之间建立关系并立即识别异常的功能。 Vislmpact系统提供了高度交互的界面，包括向下钻取到事务级别的向下钻取功能，以允许多层次查看业务动态。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号