The Process Warehouse: A Data Warehouse Approach for Multidimensional Business Process Analysis and Improvement

List, Beate; Schiefer, Josef; Tjoa, A Min

doi:10.1007/978-3-642-57681-2_15

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…This work includes a taxonomy for workflow audit data evaluation, process monitoring facilities, and a generic data warehouse design for process information systems. Moreover [16] aims at designing a generic data warehouse for business process evaluation. In contrast, WfMS independence in combination with advanced task list management are not the main focus in those articles.…”

Section: Related Workmentioning

confidence: 99%

Always Stay Flexible! WfMS-independent Business Process Controlling in SOA

Hausotter¹,

Kleiner²,

Koschel³

et al. 2011

2011 IEEE 15th International Enterprise Distributed Object Computing Conference Workshops

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Section: Related Workmentioning

confidence: 99%

Always Stay Flexible! WfMS-independent Business Process Controlling in SOA

Hausotter¹,

Kleiner²,

Koschel³

et al. 2011

2011 IEEE 15th International Enterprise Distributed Object Computing Conference Workshops

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“…It is conceptually equivalent to traditional operational data stores (ODSs) with the only difference being that it is used to store process and workflow data. The PDS can be combined with a process warehouse (PWH) [6] which is part of the enterprise data warehouse system and which is used for storing a rich set of historical process control data for the strategic decision support. The combination of the PDS and the PWH forms a process information factory, which is a data foundation for a process-driven decision support system to monitor and improve business processes continuously.…”

Section: Architectural Overviewmentioning

confidence: 99%

Process Data Store: A Real-Time Data Store for Monitoring Business Processes

Schiefer

List

Bruckner

2003

Lecture Notes in Computer Science

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Abstract. With access to real-time information on critical performance indicators of business processes, managers and staff members can play a crucial role in improving the speed and effectiveness of an organization's business operations. While the investments in data warehouse technologies have resulted in considerable information processing efficiencies for the organizations, there is still a significant delay in the time required for mission critical information to be delivered in a form that is usable to managers and staff. In this paper we introduce an architecture for business process monitoring based on a process data store which is a data foundation for operational and tactical decision-making by providing real-time access to critical process performance indicators to improve the speed and effectiveness of workflows. The process data store allows to identify and react to exceptions or unusual events that happened in workflows by sending out notifications or by directly changing the current state of the workflow. Our proposed architecture allows to transform and integrate workflow events with minimal latency providing the data context against which the event data is used or analyzed.

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“…The process‐oriented data‐warehouse concept, or simply the process warehouse (PW), has been introduced as an alternative to the data warehouse —it is defined as a warehouse that stores data about executed business processes, such as actors, activities performed by actors, the execution time of activities, the frequency of activities, and the availability of resources, and thereby can be used as an adequate basis for the analysis and optimization of those processes . Because of the typically large size of process warehouses and the lack of approaches for their efficient use, users commonly retrieve a great deal of irrelevant data, or miss vital information and, as a consequence, fail in the process analysis task .…”

Section: Introductionmentioning

confidence: 99%

Process warehouses in practice: a goal‐driven method for business process analysis

Shahzad

Zdravković

2011

J Software Evolu Process

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SUMMARY Process analysis and improvement, one of the core phases in the business process management life cycle, is reaching the top of the agenda for many enterprises and organizations. An emerging approach to analyzing business processes involves the use of process‐oriented data warehouses to collect information about executed processes to enable their detailed analysis and thereby provide bases for possible improvements. However, very little work has been carried out on employing business orientation in the design and utilization of a process warehouse. The approach presented in this study addresses that limitation by proposing a method that relates business goals to the information from the warehouse. To do so, we start by defining a desired goal structure that concerns an existing business process. The obtained goal model is firstly utilized for scoping and designing a corresponding data model for a process warehouse, and further for retrieving the information from the warehouse to examine the fulfillment of the goals of interest. The key benefits of the proposed method are the provision of the relevant and accurate business process information as well as tracing the process‐related goals to the process execution data and further to the analysis of the process. As validation of the proposed method, we develop a prototype, and a healthcare process is used as an illustrative example. Also, to demonstrate the method quality, we perform an experiment on the effectiveness of the information access and retrieval. Copyright © 2011 John Wiley & Sons, Ltd.

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The Process Warehouse: A Data Warehouse Approach for Multidimensional Business Process Analysis and Improvement

Cited by 5 publications

References 8 publications

Always Stay Flexible! WfMS-independent Business Process Controlling in SOA

Always Stay Flexible! WfMS-independent Business Process Controlling in SOA

Process Data Store: A Real-Time Data Store for Monitoring Business Processes

Process warehouses in practice: a goal‐driven method for business process analysis

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