Home      Log In      Contacts      FAQs      INSTICC Portal
 

Tutorials

The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.

TUTORIALS LIST



Decision Modeling & Mining for Business Processes


Lecturer

Jan Vanthienen
KU Leuven
Belgium
 
Brief Bio
Jan Vanthienen is full professor of business & information systems engineering at KU Leuven (Belgium), Department of Decision Sciences and Information Management. He is an active researcher in the area of intelligent business systems (rules, decisions, processes, analytics). He has published more than 150 full papers in reviewed international journals and conference proceedings. Jan is a founding member of the Leuven Institute for Research in Information Systems (LIRIS), and a member of the ACM and the IEEE Computer Society. He is or was chairholder of the bpost bank Research Chair on Actionable Customer Analytics, the Colruyt Research Chair on Smart Marketing Analytics, the PricewaterhouseCoopers Chair on E-Business and the Microsoft Research Chair on Intelligent Environments. He received an IBM Faculty Award in 2011 on smart decisions, and the Belgian Francqui Chair 2009 at FUNDP. He is co-founder and president-elect of the Benelux Association for Information Systems (BENAIS).
Jan is actively involved in the Decision Modeling & Notation standard (DMN) at OMG (Object Management Group). This standard is designed to complement the Business Process Modeling & Notation (BPMN) standard, in order to integrate and distinguish business processes and business decisions. He is also member of the IEEE task force on process mining, and co-author of the Business Process Mining Manifesto.
Abstract

With increasing demand for business process automation, the need for the automation of routine business decisions grows, as business processes can contain a lot of decisions or can even be the enactment of one major decision: granting a loan, insurance or premium; simple diagnosis; etc. In order to improve and speed up processes, also decisions have to be modeled, improved and automated. Business processes and business process models incorporate lots of decisions. Business decisions are important, but are often hidden in process flows or activities. It is not considered good practice to model the detailed decision paths in the business process model, because hardcoding decision flows in processes leads to complex and inflexible process models. In analogy with the Business Process Modeling & Notation Standard (BPMN), a Decision Model & Notation standard (DMN) was developed by OMG. Decision modeling describes business decisions to be made, with their interrelationships and requirements, together with the detailed decision logic used to make the decision. One of the common forms of decision modeling is a structure of decision tables, describing the premises and resulting outcomes of a specific decision situation. This tutorial introduces decision modeling and describes the relations between business decisions, decision tables, and business processes.

Keywords

Decision Modeling, DMN, Business Process Modeling, BPMN, Decision Mining

Aims and Learning Objectives

This tutorial takes you through decision modeling and methodology, including best practices, examples and experiences, for modeling decisions in real business situations (insurance, legislation, credit scoring, operating procedures, …).

What you will learn:
• The concepts, notation and objectives of decision modeling
• A methodology to construct decision models and tables in the DMN standard
• How decision modeling can be used with, without, before or next to business process modeling
• And mainly: lessons from a long experience on how to build, analyze and verify decision models in numerous application domains.


Target Audience

Researchers and practitioners in business process management, enterprise architecture, decision support systems, business analytics

Prerequisite Knowledge of Audience

The basics of business process management

Detailed Outline

- Decisions and processes
- Why Decision Modeling?
- Concept, objectives and advantages of decision modeling
- Decision Modeling & Notation (DMN)
* Decision Requirements Level
* Decision Logic Level
- Decision Modeling Methodology
- Decision Mining and Process Mining
- Decisions and processes: which comes first?
- Decision and process integration
- Best practices, applications and experiences
- Tooling
- Research agenda



Secretariat Contacts
e-mail: iceis.secretariat@insticc.org

footer