• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.12B
• /
• pp.1509-1521
• /
• 2011

WfMC, which is one of the international standardization organizations leading the business process and workflow technologies, has been officially released the BPAF1.0 that is a standard format to record process instances' event logs according as the business process intelligence mining technologies have recently issued in the business process and workflow literature. The business process mining technologies consist of two groups of algorithms and their analysis techniques; one is to rediscover flow-oriented process-intelligence, such as control-flow, data-flow, role-flow, and actor-flow intelligence, from process instances' event logs, and the other has something to do with rediscovering relation-oriented process-intelligence like process-driven social networks and process-driven affiliation networks from the event logs. The current standardized format of BPAF1.0 aims at only supporting the control-flow oriented process-intelligence mining techniques, and so it is unable to properly support the relation-oriented process-intelligence mining techniques. Therefore, this paper tries to extend the BPAF1.0 so as to reasonably support the relation-oriented process-intelligence mining techniques, and the extended BPAF is termed BPAF2.0. Particularly, we have a plan to standardize the extended BPAF2.0 as not only the national standard specifications through the e-Business project group of TTA, but also the international standard specifications of WfMC.

• Knowledge Management Research
• /
• v.24 no.3
• /
• pp.127-148
• /
• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.

• Information Systems Review
• /
• v.6 no.2
• /
• pp.65-77
• /
• 2004

Business intelligence assumes an integrated and inter-connected information resources. To manage an integrated database, we need to trace data transformation processes from its outset. For this purpose, this study proposes an extended Information Structure Graph that models data transformation steps in addition to data transformation structures. Using the graph, we can identify relationship among data entities and assign data quality measures to each nodes or arcs of a graph, thus eases management of data and enhancing their quality.

• the USERS
• /
• s.49
• /
• pp.41-43
• /
• 2006

• Journal of Internet Computing and Services
• /
• v.17 no.4
• /
• pp.69-77
• /
• 2016

Recently, the importance of visual analytics has been recognized in the field of business intelligence. From the view of business intelligence, visual analytics aims for acquiring valuable insights for decision making by interactively visualizing a variety of business information. In this paper, we propose a treemap-based method for visualizing work-sharing relationships among business process performers. A work-sharing relationship is established between two performers who jointly participate in a specific activity of a business process and is an important factor for understanding organizational structures and behaviors in a process-centric organization. To this end, we design and implement a treemap-based visualization tool for representing work-sharing relationships as well as basic hierarchical information in business processes. Finally, we evaluate usefulness of the proposed visualization tool through an operational example using XPDL (XML Process Definition Language) process models.

• Journal of Internet Computing and Services
• /
• v.13 no.2
• /
• pp.73-86
• /
• 2012

This paper theoretically derives an algorithm to discover a new type of social networks from workflow models, which is termed workflow-based social network intelligence. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict from workflow models and their execution histories. So, this paper proposes an algorithm, which is termed ICN-based workflow-based social network intelligence discovery algorithm, to be classified into the type of discovery techniques, which are able to discover workflow-based social network intelligence that are formed among workflow performers through a series of workflow models and their executions, In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to generate its corresponding workflow-based social network intelligence.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2006.05a
• /
• pp.1455-1458
• /
• 2006

비즈니스 인텔리전스(Business Intelligence)라는 용어는 기업 환경에서 매우 포괄적으로 사용되는 업무범위이다. 그러나 이를 이해하는 첫 번째 접근법은 데이터에 대한 분석적 접근을 행해야 만 가능하다는 것이며, 일반적으로 현황 보고서 조회 등과 같은 조회 시스템을 통하여 제공되는 현상 파악을 초월하여 데이터가 가지고 있는 여러 가지 속성을 의미 있게 이해하는 절차를 포함하는 것이다. 이러한 접근법에서 기업의 기간계 시스템등과는 확연히 다른 속성을 가지고 있다. 전사적 자원관리 시스템(ERP)은 기업의 중요 정보를 실시간으로 유지하기 위한 거래 시스템에서부터 기업의 운영을 위한 내부 회계, 영업, 서비스 시스템을 총괄하는 지원 능력을 가지게 된다. 그러나 ERP에서 생성되는 정보의 특성은 현시점에서 가정 정확한 트렌젝션 데이터의 속성을 가지게 되며, 업무적으로는 프로세스를 통합하는 기능을 지원받을 수 있게 된다. 이에 반하여 비즈니스 인텔리전스 애플리케이션은 현상을 초월하는 비즈니스 담당자의 질문에 답할 수 있는 시스템으로 구분 할 수 있다.

• Journal of Internet Computing and Services
• /
• v.13 no.2
• /
• pp.109-118
• /
• 2012

This paper theoretically derives an algorithm to discover a new type of workflow-based knowledge from workflow models, which is termed workflow-based affiliation network knowledge. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict a series of workflow-based knowledge from workflow models and their execution histories. So, this paper proposes a knowledge discovery algorithm which is able to discover workflow-based affiliation networks that represent the association and participation relationships between activities and performers defined in ICN-based workflow models. In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to derive its corresponding workflow-based affiliation network knowledge.

• Journal of Internet Computing and Services
• /
• v.14 no.4
• /
• pp.63-72
• /
• 2013

Business Process Intelligence (BPI) is one of the emerging technologies in the knowledge discovery and analysis area. BPI deals with a series of techniques from discovering knowledge to analyzing the discovered knowledge in BPM-supported organizations. By means of the BPI technology, we are able to provide the full functionality of control, monitoring, prediction, and optimization of process-supported organizational knowledge. Particularly, we focus on the focal organizational knowledge, which is so-called the BPM activity-performer affiliation networking knowledge that represents the affiliated relationships between performers and activities in enacting a specific business process model. That is, in this paper we devise a statistical analysis method to be applied to the BPM activity-performer affiliation networking knowledge, and dubbed it the activity-performer correspondence analysis method. The devised method consists of a series of pipelined phases from the generation of a bipartite matrix to the visualization of the analysis result, and through the method we are eventually able to analyze the degree of correspondences between a group of performers and a group of activities involved in a business process model or a package of business process models. Conclusively, we strongly expect the effectiveness and efficiency of the human resources allotments, and the improvement of the correlational degree between business activities and performers, in planning and designing business process models and packages for the BPM-supported organization, through the activity-performer correspondence analysis method.

• Journal of Internet Computing and Services
• /
• v.24 no.5
• /
• pp.51-66
• /
• 2023

In this paper, we propose a new type of process discovery framework, which is named as control-path-driven process group discovery framework, to be used for process mining and process reengineering in supporting life-cycle management of business process models. In addition, we develop a process mining system based on the proposed framework and perform experimental verification through it. The process execution event logs applied to the experimental effectiveness and verification are specially defined as Process BIG-Logs, and we use it as the input datasets for the proposed discovery framework. As an eventual goal of this paper, we design and implement a control path-driven process group discovery algorithm and framework that is improved from the ρ-algorithm, and we try to verify the functional correctness of the proposed algorithm and framework by using the implemented system with a BIG-Log dataset. Note that all the process mining algorithm, framework, and system developed in this paper are based on the structural information control net process modeling methodology.