273. Business Intelligence for Analytical Decisions
279. Digital Strategies and Markets
Digital transformation has enabled the collection of extremely rich and fine-grained data. This course provides an introduction to analytical techniques and frameworks that can be used to solve business problems with the help of data. Topics include clustering for market segmentation, association rules to discover relationships between different purchase decisions, Naive-Bayes classification techniques for decision making, and decision-trees. We discuss how these tools can transform decision making in fields such as operations, marketing and HR.
Examines how online social media are impacting organizations and markets. Topics include collective intelligence, online social influence, social networks, and social media monetization. The target audience consists of students interested in IT consulting, competitive strategy, marketing, and entrepreneurship.
290. Analytics for Tech Consulting
Digital customer channels are maturing in providing personalized customer facing functions, such as advertising, sales, ordering, and product use. Social engagement is now a predominant way for influencing customers and creating buzz. Cognitive techniques are providing more human touch, even when dealing with software agents. The success of new customer engagement is heavily due to advanced analytics capabilities to drive personalized communication to each customer or micro segment. There is a tremendous need in organizations to establish programs for analytics driven customer engagement. In this course, students will learn elements of analytics and personalized engagement. Students will also work on a project using real-life business problem and data to get hands-on understanding.
290. Data and Program Analytics
The volume of data being generated every day continues to grow exponentially. We capture and store data about pretty much every aspect of our lives. Being able to handle and analyze the available data is now a fundamental skill for everyone. The objective of this course is to challenge and teach students how to handle data that come in a variety of forms and sizes. This course guides students through the whole data management process, from initial data acquisition to final data analysis. Topics that may be covered, include: regular expressions, accessing data sources, relational databases and SQL, data cleaning, processing and manipulation using Pandas, basic statistical inference models, principles in random experiment design, basic predictive modeling techniques, textual data and natural language
290. Software Thinking for Managers
As businesses increasingly operate like tech companies, future executives must possess an understanding of the role and impact of software in business: what software makes possible, what problems it can solve, and how software technologies will advance in the future. To achieve this goal, this class will discuss key developments and advances in software technologies, highlight how the different components of software (ranging from those that interact closely with the machine to those that interact with users) work together, teach systems thinking and algorithmic approaches to problem solving, and provide introductory programming skills.
Edge is Merage’s MBA integrative course that explores the crucial roles of global, market, and technology forces in the business landscape as disruptive and transformative catalysts for change - opening new markets, erasing boundaries, and reinventing industries. In a world that is being redefined by these catalysts - an evolving geopolitical order, a demand for sustainability, shifting demographics, changing consumer preferences, digital technologies, ongoing economic uncertainty, and relentless competitive pressures - the imperative for companies to pursue business reinvention and new leadership strategies is unprecedented. This course will prepare future business leaders to proactively identify the opportunities and challenges presented by these catalysts, provide valuable frameworks to critically evaluate their implications, and develop the key strategies, insights and approaches needed to innovate, compete and win at the Edge.