Towards impact analysis of data in business processes

Arava Tsoury; Pnina Soffer; Iris Reinhartz-Berger

doi:10.1007/978-3-319-39429-9_9

Towards impact analysis of data in business processes

Arava Tsoury, Pnina Soffer, Iris Reinhartz-Berger

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Business processes heavily rely on data. Data is used as input for activities; it is manipulated during process execution and it serves for decisions made during the process. Thus, changes (in values or structure) of data may influence large portions of the business process. We introduce in this paper the concept of ‘data impact analysis’ which analyzes the effects of data elements on other business process elements, including activities, routing constraints, and other data elements. This type of analysis is important in scenarios such as process or database redesign and unexpected changes in data values. The paper further proposes a set of primitives depicting impacts of data within business processes, and demonstrates the use of these primitives to query the overall impact of a data element within a business process.

Original language	English
Title of host publication	Enterprise, Business-Process and Information Systems Modeling - 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings
Editors	Rainer Schmidt, Ilia Bider, Sérgio Guerreiro, Wided Guédria
Publisher	Springer Verlag
Pages	125-140
Number of pages	16
ISBN (Print)	9783319394282
DOIs	https://doi.org/10.1007/978-3-319-39429-9_9
State	Published - 2016
Event	17th International Conference on Business Process Modeling, Development and Support, BPMDS 2016 and 21st International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2016 held at Conference on Advanced Information Systems Engineering, CAiSE 2016 - Ljubljana, Slovenia Duration: 13 Jun 2016 → 14 Jun 2016

Publication series

Name	Lecture Notes in Business Information Processing
Volume	248
ISSN (Print)	1865-1348

Conference

Conference	17th International Conference on Business Process Modeling, Development and Support, BPMDS 2016 and 21st International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2016 held at Conference on Advanced Information Systems Engineering, CAiSE 2016
Country/Territory	Slovenia
City	Ljubljana
Period	13/06/16 → 14/06/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

Business processes
Data inaccuracy
Database
Impact analysis
Process redesign

ASJC Scopus subject areas

Control and Systems Engineering
Management Information Systems
Business and International Management
Information Systems
Modeling and Simulation
Information Systems and Management

Access to Document

10.1007/978-3-319-39429-9_9

Cite this

Tsoury, A., Soffer, P., & Reinhartz-Berger, I. (2016). Towards impact analysis of data in business processes. In R. Schmidt, I. Bider, S. Guerreiro, & W. Guédria (Eds.), Enterprise, Business-Process and Information Systems Modeling - 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings (pp. 125-140). (Lecture Notes in Business Information Processing; Vol. 248). Springer Verlag. https://doi.org/10.1007/978-3-319-39429-9_9

Tsoury, Arava ; Soffer, Pnina ; Reinhartz-Berger, Iris. / Towards impact analysis of data in business processes. Enterprise, Business-Process and Information Systems Modeling - 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings. editor / Rainer Schmidt ; Ilia Bider ; Sérgio Guerreiro ; Wided Guédria. Springer Verlag, 2016. pp. 125-140 (Lecture Notes in Business Information Processing).

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Tsoury, A, Soffer, P & Reinhartz-Berger, I 2016, Towards impact analysis of data in business processes. in R Schmidt, I Bider, S Guerreiro & W Guédria (eds), Enterprise, Business-Process and Information Systems Modeling - 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings. Lecture Notes in Business Information Processing, vol. 248, Springer Verlag, pp. 125-140, 17th International Conference on Business Process Modeling, Development and Support, BPMDS 2016 and 21st International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2016 held at Conference on Advanced Information Systems Engineering, CAiSE 2016, Ljubljana, Slovenia, 13/06/16. https://doi.org/10.1007/978-3-319-39429-9_9

Towards impact analysis of data in business processes. / Tsoury, Arava; Soffer, Pnina ; Reinhartz-Berger, Iris.
Enterprise, Business-Process and Information Systems Modeling - 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings. ed. / Rainer Schmidt; Ilia Bider; Sérgio Guerreiro; Wided Guédria. Springer Verlag, 2016. p. 125-140 (Lecture Notes in Business Information Processing; Vol. 248).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Towards impact analysis of data in business processes

AU - Tsoury, Arava

AU - Soffer, Pnina

AU - Reinhartz-Berger, Iris

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Business processes heavily rely on data. Data is used as input for activities; it is manipulated during process execution and it serves for decisions made during the process. Thus, changes (in values or structure) of data may influence large portions of the business process. We introduce in this paper the concept of ‘data impact analysis’ which analyzes the effects of data elements on other business process elements, including activities, routing constraints, and other data elements. This type of analysis is important in scenarios such as process or database redesign and unexpected changes in data values. The paper further proposes a set of primitives depicting impacts of data within business processes, and demonstrates the use of these primitives to query the overall impact of a data element within a business process.

AB - Business processes heavily rely on data. Data is used as input for activities; it is manipulated during process execution and it serves for decisions made during the process. Thus, changes (in values or structure) of data may influence large portions of the business process. We introduce in this paper the concept of ‘data impact analysis’ which analyzes the effects of data elements on other business process elements, including activities, routing constraints, and other data elements. This type of analysis is important in scenarios such as process or database redesign and unexpected changes in data values. The paper further proposes a set of primitives depicting impacts of data within business processes, and demonstrates the use of these primitives to query the overall impact of a data element within a business process.

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KW - Data inaccuracy

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PB - Springer Verlag

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Y2 - 13 June 2016 through 14 June 2016

ER -

Tsoury A, Soffer P , Reinhartz-Berger I. Towards impact analysis of data in business processes. In Schmidt R, Bider I, Guerreiro S, Guédria W, editors, Enterprise, Business-Process and Information Systems Modeling - 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings. Springer Verlag. 2016. p. 125-140. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-319-39429-9_9

Towards impact analysis of data in business processes

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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