Many systems and organizations seem complex and difficult to understand - until you show their elements and structures and reveal relations and dependencies.
The objective of this course is to describe this complex system using formal notations and focusing on three perspectives: decision, process and data.
Those three perspectives can help to capture the different elements and structures of an enterprise as well as to visualize the inter-dependencies between the elements.
In addition to the theoretical aspects, the use of some tools (such as software applications) useful (i) for modeling and analyzing the processes and workflows as main object of change will also be illustrated (to support automation and redesign of processes and in general the Business Process Management - BPM), (ii) for modeling and describing main decisions relevant for the specific business process, and (iii) for modling data and information useful and relevant for decision making processes (e.g. data warehouse, data mining, business intelligence) that could differ on the basis of the specific actors (eg Chief Commercial Officer, Chief Business Officer, etc.)
At the end of the course the student must possess knowledge and skills to be able to express very complex processes in diverse ways, focusing on Information, process and decisions, thinking on the components of an information system using modeling techniques as a precursor to fully comprehend the interrelation of information and enterprise systems.
Specifically, students will be able to analyze, describe and rethink the business processes influenced by digitization phenomena.
The general objectives of the course are therefore aimed at making the student acquire the knowledge / skills necessary to:
- apply the principles of systems theory and the analysis of an enterprise considering digitalization processes
- analyze, design and redesign the business processes affected by the digital transformation, using specific formalisms (such as the Business Process Model and Notation - BPMN)
- analyze, design and redesign the decision making processes linked with a specific business process, using specific formalisms (such as the Decision Model and Notation - DMN)
- analyze, design and model decision support tools using specific formalisms (e.g. conceptual modeling of a data warehouse through the Dimensional Fact Model)
To this end, the course proposes to develop the following skills and knowledge focusing on the following particular objectives:
KNOWLEDGE AND ABILITY TO UNDERSTAND
At the end of the course the students will be able to:
- distinguish the different levels of abstraction of an organizational process, the main and secondary actors, the different levels of interaction within the process and between different processes, as well as the resources and information involved in the phenomenon of digital transformation
- distinguish the different phases of a decision-making process.
- identify and model the relevant information for a specific decision-making process, considering the decision-makers, the context and the purposes.
ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
At the end of the course the students will be able to:
- use analytical tools to understand and interpret some aspect characterizing an enterprise;
- propose strategies for fostering digital transformation.
AUTONOMY OF JUDGMENT
At the end of the course the students will be able to:
- critically interpret and analyze the business processes (and related documentation) that take place within the organizational system and which also cover specific functions (e.g. sales and promotion of products / services) in different sectors (industry and services) considering the three perspective – process, decisions and information.
COMMUNICATION SKILLS
The resulting multidisciplinary communication skills are the main result of teaching. The student will indeed be able to
express in an oral form analytical, critical and summary considerations on the main aspects concerning the enterprise modeling
