Analytics for Competitive Advantage
Subject Overview
The third Business Analytics group elective, covering business analytics fundamentals and its role in competitive advantage, linking analytics with business strategy and organizational challenges, data sourcing/management and analytics techniques, and execution, governance and future trends in analytics. A 4-credit elective theory paper.
Unit-wise Syllabus
4 units — click WhatsApp below to get the full notes for each
Unit 1: Introduction to business analytics
Concept, evolution and scope of business analytics, big data characteristics and role of IoT, analytics and competitive advantage, business analytics models across industries, customer analytics, data-driven decision making
Unit 2: Analytics strategy and organization
Linking analytics with business strategy, identifying use cases, value of business analytics, organizational challenges and process integration, building data competencies, communication of analytics insights
Unit 3: Data sourcing and analytics techniques
Types and sources of data, big data infrastructure (data warehousing, cloud computing), data quality and bias, descriptive/predictive/prescriptive analytics, text/speech/image analytics, machine learning and AI, data visualization and storytelling
Unit 4: Execution, governance and trends
Developing execution plans, performance measurement frameworks, data governance, privacy and ethical challenges in analytics and AI, cybersecurity and data risk management, building a data-driven culture, future trends in AI and big data