95-872 Security Operations Leadership and Engineering
6 units, Carnegie Mellon University
Use of analytics is rapidly transforming managerial decision making and firms are starting to leverage analytics in the various functional areas of business to improve datadriven decision making. However, many firms are still unable to use data and analytics as a bridge between strategic themes and operations. While performance management systems are prevalent, their focus is primarily historical and they require the integration of a wide variety of data to track measures that may not be strategically relevant. Moreover, getting organizations to adopt emerging Big Data technologies to generate forwardlooking analytics requires new technical and analytic skills that many organizations have not traditionally possessed. The aim of this minicourse is to understand what it takes for companies to successfully leverage data and analytics to become more customercentric while driving improved business results while also providing opportunities for handson learning. Introduce a framework for understanding what it takes for companies to successfully leverage data and analytics for competitive advantage. Understand how to develop strategies for building out strategic data and analytics capabilities. Provide an overview of the key analytics techniques from both a mathematical and datatechnology perspective. Explore various analytic techniques and how they can be applied across the value chain of a companys business operations. Introduce Big Data concepts and outline how Big Data is transforming how companies are approaching analytics. Outline a reference architecture for enteprise data management that spans both traditional data warehousing and Big Data techniques. Case studies will supplement the discussion of these topics.
Prerequisites: 95-796 (min C) and 95-703 (min C)
Offered: Spring 2027
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