The Experts below are selected from a list of 10254 Experts worldwide ranked by ideXlab platform

Wil M P Van Der Aalst - One of the best experts on this subject based on the ideXlab platform.

  • process querying enabling business intelligence through query based process analytics
    Decision Support Systems, 2017
    Co-Authors: Artem Polyvyanyy, Chun Ouyang, Alistair Barros, Wil M P Van Der Aalst
    Abstract:

    The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process execution records. Process-related information is a core Organizational Asset which requires dedicated analytics to unlock its full potential. This paper proposes a framework for devising process querying methods, i.e., techniques for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes. The framework is composed of generic components that can be configured to create a range of process querying methods. The motivation for the framework stems from use cases in the field of Business Process Management. The design of the framework is informed by and validated via a systematic literature review. The framework structures the state of the art and points to gaps in existing research. Process querying methods need to address these gaps to better support strategic decision-making and provide the next generation of Business Intelligence platforms.

Wangyao-ching - One of the best experts on this subject based on the ideXlab platform.

Artem Polyvyanyy - One of the best experts on this subject based on the ideXlab platform.

  • process querying enabling business intelligence through query based process analytics
    Decision Support Systems, 2017
    Co-Authors: Artem Polyvyanyy, Chun Ouyang, Alistair Barros, Wil M P Van Der Aalst
    Abstract:

    The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process execution records. Process-related information is a core Organizational Asset which requires dedicated analytics to unlock its full potential. This paper proposes a framework for devising process querying methods, i.e., techniques for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes. The framework is composed of generic components that can be configured to create a range of process querying methods. The motivation for the framework stems from use cases in the field of Business Process Management. The design of the framework is informed by and validated via a systematic literature review. The framework structures the state of the art and points to gaps in existing research. Process querying methods need to address these gaps to better support strategic decision-making and provide the next generation of Business Intelligence platforms.

  • process querying enabling business intelligence through query based process analytics
    Science & Engineering Faculty, 2017
    Co-Authors: Artem Polyvyanyy, Chun Ouyang, Alistair Barros, Wil M P Van Der Aalst
    Abstract:

    Highlights - A framework for designing process querying methods is proposed - The framework is positioned for broader Process Analytics and Business Intelligence - The framework is grounded in use cases from the Business Process Management field - The framework is informed by and validated via a systematic literature review - The framework structures the state of the art and points to gaps in existing research Abstract The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process execution records. Process-related information is a core Organizational Asset which requires dedicated analytics to unlock its full potential. This paper proposes a framework for devising process querying methods, i.e., techniques for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes. The framework is composed of generic components that can be configured to create a range of process querying methods. The motivation for the framework stems from use cases in the field of Business Process Management. The design of the framework is informed by and validated via a systematic literature review. The framework structures the state of the art and points to gaps in existing research. Process querying methods need to address these gaps to better support strategic decision-making and provide the next generation of Business Intelligence platforms.

Wangyu-min - One of the best experts on this subject based on the ideXlab platform.

Jackie L. Hartman - One of the best experts on this subject based on the ideXlab platform.

  • Physical communication : An Organizational Asset
    Measuring Business Excellence, 2002
    Co-Authors: Jackie L. Hartman
    Abstract:

    A strategic communication system is the vehicle for creating, managing and disseminating an organization’s excellence in design, process, and human capital. We propose that Organizational communication should be measured in an effort to influence the business outcomes and the behavior of shareholders, customers, and employees. An often overlooked Asset is an organization’s physical environment and that which it communicates. This article presents the literature addressing the correlation between the physical environment and behaviors as well as an audit inventory that allows an organization to examine its environment from a strategic view in order to align its surroundings with its culture, image, desirable behaviors, and expected outcomes.