In an era where digital technologies and data-driven decision-making shape competitive advantage, this module equips students with the knowledge and skills to navigate and lead digital transformation initiatives. This module is designed to: • Develop students' understanding of organisations as data-driven entities, leveraging digital technologies to enhance decision-making, manage uncertainty, and drive business transformation. • Explore the strategic importance of data and database management, focusing on business intelligence, analytics, ERPs, CRMs, and AI-driven decision support systems as key enablers of digital transformation. • Examine the ethical, social, and governance challenges of digital adoption, including data privacy, responsible AI, and regulatory compliance. • Address cultural and organisational barriers to digital innovation, providing insights into change management and the complexities of technology adoption in diverse business environments.

The following list provides an indicative overview of the module's content: Organisations as data-driven enterprises; the role of digital technologies in managing environmental uncertainty; digital transformation and its impact on business models, decision-making, and organisational agility; strategic importance of data as a corporate resource: data governance, data ethics, and regulatory considerations; database management and analytics: business intelligence, big data, AI-driven decision support, and predictive analysis; Integrated business systems: ERP, CRM, supply chain analytics, and cloud-based enterprise solutions; development of a social and economic framework for understanding the nature and interaction of information, technology, people, and organisational components; the role of automation, AI, and machine learning in decision-making and business processes; corporate responsibility for data integrity, cybersecurity, and compliance with GDPR and other data protection regulations; the socio-economic impact of digital transformation: ethical, AI, digital inclusion, and sustainability. These concepts will be reinforced and developed through the use of database and decision support and modelling software.

On successful completion of this module, students will be able to: • Explain key concepts in data management, including data governance, data quality, and lifecycle management, and assess their role in business decision-making and operations. • Analyse the impact of digital transformation on business processes and evaluate emerging technologies in driving innovation and efficiency. • Apply practical skills in database design/development, decision-making toolsets, information management and graphic design. • Assess how cloud-based platforms can be utilised for data storage and analysis, considering scalability, cost-effectiveness, and their role in business intelligence. • Critically evaluate ethical, legal, and regulatory considerations in data management and develop strategies to ensure responsible and compliant data use. • Develop data-driven business strategies that leverage digital tools and analytics to enhance innovation, competitive advantage, and operational efficiency.

• Demonstrate an appreciation for the ethical, social, and environmental implications of digital transformation and data practices within diverse organisational contexts. • Develop a reflective awareness of one's role as a responsible digital citizen in the design, use, and governance of information systems.

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Students will engage with the module through a combination of lectures, labs, and seminars designed to provide both theoretical knowledge and practical skillsets. Lectures will introduce core concepts, frameworks, and case studies related to digital transformation, data management, and organisational decision-making. Labs will offer hands-on practical experience with data analysis tools, database management systems, and decision support software, allowing students to apply theoretical knowledge to real-world scenarios. Seminars throughout the semester will facilitate group discussions, critical analysis of current trends, and collaborative problem-solving, fostering skills in communication, teamwork, and innovation. This blended approach ensures students develop both a conceptual understanding and the technical proficiency needed to address contemporary challenges in digital transformation and data management. The module contributes to the development of the UL Graduate Attributes as follows: Agile • The module develops adaptability and flexibility through its focus on managing uncertainty in data-driven enterprises and leveraging digital tools to respond to dynamic business environments. • Encouraging students to work on real-world case studies and simulate business scenarios fosters independent and responsive decision-making. Articulate • Students gain strong interpersonal and collaborative skills by engaging in group projects that explore data ethics, governance, and cross-cultural challenges in digital adoption. • The module emphasises clear communication of data-driven insights, enabling students to effectively articulate findings using visualisation tools and analytics. Responsible • Addressing topics like corporate responsibility for data integrity, cybersecurity, and compliance with regulations (e.g., GDPR) promotes personal, social, and ethical responsibility. • A focus on sustainability and ethical AI ensures graduates are aware of their role in creating a socially responsible digital future. Curious • The module fosters critical thinking and problem-solving by teaching students to analyse large datasets, apply data-mining techniques, and explore emerging technologies like AI and IoT. • Exploration of cutting-edge digital transformation strategies and tools stimulates inquisitiveness and innovation. Courageous • By addressing challenges in implementing digital systems and exploring transformative technologies, the module cultivates resilience, tenacity, and innovative thinking. • Students are encouraged to propose transformative solutions for real-world business problems, developing an enterprising and robust mindset.