Digital Innovation 2600-IBP-DI
The course digital innovation bridges the gap between IT infrastructure and business strategy, equipping students to design, evaluate, and implement scalable, data-driven digital solutions that optimize business processes and create strategic value, and show the Next-Gen Tech implementation in Enterprise Systems with expamples of integrating AI, GenAI, Big Data Analytics, and IoT into core ERP/CRM databases and operational tools.
1. Digital Shift in BIS Architecture: Evolution of enterprise systems: from monolithic legacy architectures with knowledge management tools to cloud-native, API-driven microservices.
2. Process Mining and Value Discovery: Business Process Management (BPM), process discovery, and Process Mining in enterprise systems.
3. Platform Economy and System Integration: Enterprise integration patterns, ERP, APIs, and multi-sided digital platforms.
4. Business Intelligence and Information Governance: Data-driven decision systems, Data Lakes vs. Data Warehouses, security, compliance (GDPR), and IT governance.
5. Enterprise System Rollout and IT Change Management: System selection strategies, risk management, legacy migration, and alignment between IT and business units.
6. Design Thinking and Need Discovery: Customer-centric innovation, value proposition design, and user research strategies.
7. Digital Business Models: Monetization strategies in the digital era: SaaS, Multi-sided Platforms, Freemium, and Ecosystems.
8. Technology Enablers: AI, Cloud Computing, IoT, Big Data, and Automation as catalysts for business model innovation.
Course coordinators
Learning outcomes
After completing the course:
In terms of knowledge:
Student explains the structural evolution of Business Information Systems and enterprise architecture paradigms.
Student identifies key emerging technologies (AI, Cloud, IoT) and their strategic applications in business.
• Knows and understands terminology and basic theoretical models in the field of databases and IT management systems (K_W01).
• Knows and understands at an advanced level the principles, procedures and practices relating to the activities of various types of organizations using IT systems in management (K_W02).
• Knows and understands the operation of selected IT solutions that support enterprise management (K_W05).
• Understands the principles of industrial property and copyright protection (K_W05).
In terms of skills:
Student evaluates how cloud computing, AI, APIs, and data integration technologies transform core business processes.
• Is able to use the theory of the discipline of management and quality science and knowledge in the field of information technologies to recognize, diagnose and solve problems related to key functions in the organization and integrate them within the organization's strategy, using the appropriate selection of theoretical sources and practical solutions and adapting existing methods ( K_U01).
• Is able to prepare a database project independently and in a team (K_U03).
• Is able to independently and collectively model enterprise processes using BPMN and propose optimization of enterprise processes using IT tools (K_U03).
• Has the ability to self-educate and improve acquired qualifications (K_U06).
In terms of attitudes and social competencies:
Student communicates technical system requirements effectively to non-technical business stakeholders.
Student collaborates in cross-functional teams to solve complex IT architecture and business system challenges.
• Is ready to critically evaluate IT tools supporting management in the enterprise (K_K01)
Assessment criteria
Group Project and Presentation (50%): Group presentation and technical defense of the proposed BIS solution with development of a digital product concept, including practical introduction, interactive prototype characteristics, and financial metrics.
Final Exam / Test (50%): Multiple-choice test evaluating theoretical frameworks and terminology.
The final form of assessment consists of two practical part: test involving the completion of a set of multiple-choice questions and the presentation of group project.
The final grade consists of: 50% for the test and 50% for the presentation. The assessment will take place in the UW Faculty of Management classroom or on an IT platform.
To pass the course, you must achieve a minimum score of 60% on each of the parts.
Grading scale: DST (51%-60%), DST Plus (61%-70%), DB (71%-80%), DB Plus (81%-90%), BDB (91%-100%)