Modern organizations generate enormous volumes of structured, semi-structured, and unstructured data from customers, operations, financial transactions, connected devices, digital platforms, supply chains, sensors, and enterprise systems. Managing this information effectively requires more than traditional databases or reporting tools. Executive leaders must understand how big data systems support real-time decision-making, predictive intelligence, operational resilience, digital transformation, and enterprise-scale innovation. While managers are not expected to design distributed computing systems, they must understand the strategic capabilities, governance requirements, investment decisions, and operational implications of large-scale data infrastructures.
This advanced course provides a practical, executive-oriented study of big data systems from a business leadership perspective. Rather than focusing on programming, distributed computing algorithms, or system administration, the course examines how organizations design, govern, invest in, and leverage enterprise-scale data ecosystems to improve strategic decision-making and organizational performance. Students will learn how executives evaluate data platforms, integrate enterprise information across business units, manage data pipelines, oversee cloud-based analytics environments, and align big data initiatives with corporate objectives.
Throughout the course, emphasis is placed on practical frameworks used by Chief Data Officers (CDOs), Chief Information Officers (CIOs), Chief Digital Officers (CDOs), Chief Analytics Officers (CAOs), Chief Technology Officers (CTOs), operations executives, digital transformation leaders, consulting firms, financial institutions, healthcare organizations, manufacturers, retailers, logistics companies, telecommunications firms, and multinational enterprises. Students will develop executive-level capabilities required to lead organizations that depend on large-scale data systems while balancing innovation, governance, cybersecurity, operational efficiency, regulatory compliance, and long-term business value.
Course Objectives
By the end of this course, students will be able to:
• Evaluate enterprise big data strategies that support corporate objectives.
• Understand the business capabilities enabled by modern big data systems.
• Assess enterprise data architectures from a managerial perspective.
• Govern enterprise-wide data ecosystems using effective leadership frameworks.
• Evaluate cloud-based and distributed data platforms for business applications.
• Integrate big data into operational, financial, marketing, product, and strategic decision-making.
• Strengthen enterprise data governance, privacy, and cybersecurity oversight.
• Measure business value generated through large-scale data investments.
• Lead organizational transformation supported by enterprise data platforms.
• Apply executive leadership principles to enterprise-scale data management.
